WHO AM I.

Size: px
Start display at page:

Download "WHO AM I."

Transcription

1

2 WHO AM I Christoph Engelbert (@noctarius2k) 8+ years of professional Java development Specialized to performance, GC, traffic topics Apache DirectMemory PMC Previous companies incl. Ubisoft and HRS Official Inhabitant of Hazelcastia CastMapR MapReduce for Hazelcast 3 Co-Author Java Off-heap JEP Proposal

3 TOPICS Java Memory Layout Definition of Off-Heap? Direct Memory Access? Why do we need Off-Heap Memory? Options for Off-Heap Storage Advantages and Disadvantages of (Off- )Heap Available Frameworks (Not so) Secret Future Small demonstration

4 JAVA MEMORY LAYOUT A FAST WALK-THROUGH

5 JAVA MEMORY LAYOUT (1/5)

6 JAVA MEMORY LAYOUT (2/5) YOUNG GENERATION - EDEN SPACE Only used for Object-Allocation TLAB¹ allocation available Affected by Minor and Major GC Objects moved to Survivor on Minor GC ¹ TLAB: Thread Local Allocation Buffer

7 JAVA MEMORY LAYOUT (3/5) YOUNG GENERATION - SURVIVOR SPACES Always one From-Space and one To-Space From-Space contains living objects on last GC Minor GC switches the Survivor Spaces Alive Objects are moved to To-Space Affected by Minor and Major GC Long living objects eventually moved to Tenured

8 JAVA MEMORY LAYOUT (4/5) TENURED SPACE Contains only long living objects Affected only by Major GC More objects means more GC spend time Concurrent object inspectation available Long Stop-The-World pauses possible Not optimal for big datasets

9 JAVA MEMORY LAYOUT (5/5) PERMGEN / META SPACE Class bytecodes Class metadata Runtime information Code Compilation Cache etc.

10 G1 (GARBAGE FIRST COLLECTOR) Generational GC Heap splitted into same sized regions Every region is either Eden, Survivor or Tenured space

11 DEFINITION OF OFF-HEAP?

12 DEFINITION OF OFF-HEAP? Off-Heap is a (continuously) self allocated, managed and freed direct memory region. It is not under control of the Java GarbageCollector and needs custom written allocation and cleanup of data-regions. Off-Heap can not be used for allocation of Java objects.

13 I'M DUKE SKYWALKER I'M HERE TO RESCUE YOU!

14 DIRECT MEMORY ACCESS? GIVE YOURSELF TO THE DARK SIDE

15 DIRECT MEMORY ACCESS? ARE YOU SERIOUS? Fast memory area Not affecting the GC Officially available since Java 1.4 Serialization overhead when storing objects Limited by -XX:MaxDirectMemorySize

16 WHY DO WE NEED OFF-HEAP MEMORY?

17 WHY DO WE NEED OFF-HEAP MEMORY? Storing of huge datasets Zero-Copy writes to channels Lower pressure on GC / less GC pauses Storage Space only limited by RAM Compact data representation possible IPC SharedMemory with Memory-Mapped-Files

18 OPTIONS FOR OFF-HEAP STORAGE

19 OPTIONS FOR OFF-HEAP STORAGE (1/3) JNI (Java Native Interface) int* buffer = ( int* ) malloc( 1024 * sizeof(int) ); if( buffer == NULL ) throwoutofmemoryexception(); for( int i = 0; i < 1024; i++ ) buffer[sizeof(int) * i] = i; free( buffer );

20 OPTIONS FOR OFF-HEAP STORAGE (2/3) (Direct)ByteBuffer ByteBuffer buffer = ByteBuffer.allocateDirect( 1024 * 4 ); for( int i = 0; i < 1024; i++) buffer.putint( i ); // buffer is automatically freed by GC

21 OPTIONS FOR OFF-HEAP STORAGE (3/3) sun.misc.unsafe Unsafe unsafe = tricktoretrieveunsafe(); long address = unsafe.allocatememory( 1024 * 4 ); for( int i = 0; i < 1024; i++ ) unsafe.putint( address + 4 * i, i ); unsafe.freememory( address );

22 ADVANTAGES AND DISADVANTAGES OF (OFF-)HEAP

23 ADVANTAGES ON-HEAP No messing with malloc Automatic Garbage Collection No need for Serialization

24 DISADVANTAGES ON-HEAP Slowdown on high allocation rate Big overhead on small objects (header) Heavily depending on GC Combination

25 ADVANTAGES OFF-HEAP No limitation* in size Compact data layout Zero-Copy socket read/write possible Frameworks available to manage memory

26 DISADVANTAGES OFF-HEAP Allocation is up to you Deallocation is up to you Data layout is up to you Serialization may be required JNI requires native library

27 AVAILABLE FRAMEWORKS

28 AVAILABLE FRAMEWORKS (1/5) Apache DirectMemory Terracotta BigMemory Hazelcast ElasticMemory MapDB.org etc.

29 AVAILABLE FRAMEWORKS (2/5) Apache DirectMemory CacheService<String, String> cacheservice = new DirectMemory<...>().setNumberOfBuffers( 10 ).newcacheservice(); cacheservice.put( "MyKey", "SomeValue" ); String value = cacheservice.get( "MyKey" );

30 AVAILABLE FRAMEWORKS (3/5) Terracotta BigMemory <ehcache xml:nonamespaceschemalocation="..." name="mycachedefinition"> <cache name="myoffheapcache" maxbyteslocaloffheap="2g" /> </ehcache> CacheManager cachemanager = new CacheManager(); Cache datastore = cachemanager.get( "MyOffheapCache" ); Element element = new Element( "MyKey", "SomeValue" ); datastore.put( element ); String value = (String) datastore.get( "MyKey" ).getobjectvalue();

31 AVAILABLE FRAMEWORKS (4/5) Hazelcast Offheap <hazelcast xml:nonamespaceschemalocation="..."> <map name="mymap"> <storage-type>offheap</storage-type> </map> </hazelcast> HazelcastInstance hz = Hazelcast.newInstance(); // Returns a IMap extends ConcurrentMap Map<String, String> map = hz.getmap( "MyMap" ); map.put( "MyKey", "SomeValue" ); String value = map.get( "MyKey" );

32 AVAILABLE FRAMEWORKS (5/5) MapDB.org DB db = DBMaker.newDirectMemoryDB().sizeLimit( 2 ).make(); // Returns a HTreeMap extends ConcurrentMap Map<String, String> map = db.createhashmap( "cache" ).make(); map.put( "MyKey", "SomeValue" ); String value = map.get( "MyKey" );

33 FURTHER INFORMATION AVAILABLE The Must-Read for Off-Heap PacketObject Description from IBM Compact Datastructures (Martin Thompson) C++ Like Performance for Serialization Tricks with Direct Memory Access in Java

34 THE OFF-HEAP JEP PROPOSAL MAY THE FORCE BE WITH YOU. THE FORCE IS STRONG WITH THIS ONE.

35 OFF-HEAP JEP PROPOSAL ByteBuffer like interface Fully 64-bit sizes and offsets Compare-And-Swap operations Volatile and ordered operations Optional bounding checks Supports Memory mapping Support Foreign Function Interface (FFI) JEP

36 OFF-HEAP JEP PROPOSAL - CODE EXAMPLE DISCLAIMER: PROVISIONAL API import javax.direct.*; BytesFactory factory = createbytesfactory(); Bytes bytes = factory.boundschecking( false ).deallocationchecks( false ).freeongc( false ).create( ByteOrder.LITTLE_ENDIAN, 1024 * 4 ); for( int i = 0; i < 1024; i++ ) bytes.putvolatileint( i ); bytes.release();

37 OFF-HEAP JEP PROPOSAL Proposal Discussion Group Proposal Text FFI JEP 191

38 THANK YOU! Images: Gnome Nebula Theme, KDE theme,

Heap Off Memory WTF?? Reducing Heap memory stress

Heap Off Memory WTF?? Reducing Heap memory stress Heap Off Memory WTF?? Reducing Heap memory stress Abstract * Java memory fundamental * heap off memory principles * heap-off cache with Apache DirectMemory /me Olivier Lamy * Open Source Architect @Talend

More information

High Performance Managed Languages. Martin Thompson

High Performance Managed Languages. Martin Thompson High Performance Managed Languages Martin Thompson - @mjpt777 Really, what is your preferred platform for building HFT applications? Why do you build low-latency applications on a GC ed platform? Agenda

More information

NG2C: Pretenuring Garbage Collection with Dynamic Generations for HotSpot Big Data Applications

NG2C: Pretenuring Garbage Collection with Dynamic Generations for HotSpot Big Data Applications NG2C: Pretenuring Garbage Collection with Dynamic Generations for HotSpot Big Data Applications Rodrigo Bruno Luis Picciochi Oliveira Paulo Ferreira 03-160447 Tomokazu HIGUCHI Paper Information Published

More information

Garbage Collection. Akim D le, Etienne Renault, Roland Levillain. May 15, CCMP2 Garbage Collection May 15, / 35

Garbage Collection. Akim D le, Etienne Renault, Roland Levillain. May 15, CCMP2 Garbage Collection May 15, / 35 Garbage Collection Akim Demaille, Etienne Renault, Roland Levillain May 15, 2017 CCMP2 Garbage Collection May 15, 2017 1 / 35 Table of contents 1 Motivations and Definitions 2 Reference Counting Garbage

More information

High Performance Managed Languages. Martin Thompson

High Performance Managed Languages. Martin Thompson High Performance Managed Languages Martin Thompson - @mjpt777 Really, what s your preferred platform for building HFT applications? Why would you build low-latency applications on a GC ed platform? Some

More information

THE TROUBLE WITH MEMORY

THE TROUBLE WITH MEMORY THE TROUBLE WITH MEMORY OUR MARKETING SLIDE Kirk Pepperdine Authors of jpdm, a performance diagnostic model Co-founded Building the smart generation of performance diagnostic tooling Bring predictability

More information

Sustainable Memory Use Allocation & (Implicit) Deallocation (mostly in Java)

Sustainable Memory Use Allocation & (Implicit) Deallocation (mostly in Java) COMP 412 FALL 2017 Sustainable Memory Use Allocation & (Implicit) Deallocation (mostly in Java) Copyright 2017, Keith D. Cooper & Zoran Budimlić, all rights reserved. Students enrolled in Comp 412 at Rice

More information

Java Memory Management. Märt Bakhoff Java Fundamentals

Java Memory Management. Märt Bakhoff Java Fundamentals Java Memory Management Märt Bakhoff Java Fundamentals 0..206 Agenda JVM memory Reference objects Monitoring Garbage collectors ParallelGC GGC 2/44 JVM memory Heap (user objects) Non-heap Stack (per thread:

More information

JVM Memory Model and GC

JVM Memory Model and GC JVM Memory Model and GC Developer Community Support Fairoz Matte Principle Member Of Technical Staff Java Platform Sustaining Engineering, Copyright 2015, Oracle and/or its affiliates. All rights reserved.

More information

G1 Garbage Collector Details and Tuning. Simone Bordet

G1 Garbage Collector Details and Tuning. Simone Bordet G1 Garbage Collector Details and Tuning Who Am I - @simonebordet Lead Architect at Intalio/Webtide Jetty's HTTP/2, SPDY and HTTP client maintainer Open Source Contributor Jetty, CometD, MX4J, Foxtrot,

More information

A program execution is memory safe so long as memory access errors never occur:

A program execution is memory safe so long as memory access errors never occur: A program execution is memory safe so long as memory access errors never occur: Buffer overflows, null pointer dereference, use after free, use of uninitialized memory, illegal free Memory safety categories

More information

The G1 GC in JDK 9. Erik Duveblad Senior Member of Technical Staf Oracle JVM GC Team October, 2017

The G1 GC in JDK 9. Erik Duveblad Senior Member of Technical Staf Oracle JVM GC Team October, 2017 The G1 GC in JDK 9 Erik Duveblad Senior Member of Technical Staf racle JVM GC Team ctober, 2017 Copyright 2017, racle and/or its affiliates. All rights reserved. 3 Safe Harbor Statement The following is

More information

Attila Szegedi, Software

Attila Szegedi, Software Attila Szegedi, Software Engineer @asz Everything I ever learned about JVM performance tuning @twitter Everything More than I ever wanted to learned about JVM performance tuning @twitter Memory tuning

More information

Running class Timing on Java HotSpot VM, 1

Running class Timing on Java HotSpot VM, 1 Compiler construction 2009 Lecture 3. A first look at optimization: Peephole optimization. A simple example A Java class public class A { public static int f (int x) { int r = 3; int s = r + 5; return

More information

Present but unreachable

Present but unreachable Present but unreachable Reducing persistent latent secrets in HotSpot JVM Adam Pridgen 1 Simson L. Garfinkel 2 Dan S. Wallach 1 1 Rice University, Houston, TX, USA 2 George Mason University, Fairfax, VA,

More information

Habanero Extreme Scale Software Research Project

Habanero Extreme Scale Software Research Project Habanero Extreme Scale Software Research Project Comp215: Garbage Collection Zoran Budimlić (Rice University) Adapted from Keith Cooper s 2014 lecture in COMP 215. Garbage Collection In Beverly Hills...

More information

Shenandoah: An ultra-low pause time garbage collector for OpenJDK. Christine Flood Roman Kennke Principal Software Engineers Red Hat

Shenandoah: An ultra-low pause time garbage collector for OpenJDK. Christine Flood Roman Kennke Principal Software Engineers Red Hat Shenandoah: An ultra-low pause time garbage collector for OpenJDK Christine Flood Roman Kennke Principal Software Engineers Red Hat 1 Shenandoah Why do we need it? What does it do? How does it work? What's

More information

Lecture 13: Garbage Collection

Lecture 13: Garbage Collection Lecture 13: Garbage Collection COS 320 Compiling Techniques Princeton University Spring 2016 Lennart Beringer/Mikkel Kringelbach 1 Garbage Collection Every modern programming language allows programmers

More information

Compiler construction 2009

Compiler construction 2009 Compiler construction 2009 Lecture 3 JVM and optimization. A first look at optimization: Peephole optimization. A simple example A Java class public class A { public static int f (int x) { int r = 3; int

More information

Garbage Collection Algorithms. Ganesh Bikshandi

Garbage Collection Algorithms. Ganesh Bikshandi Garbage Collection Algorithms Ganesh Bikshandi Announcement MP4 posted Term paper posted Introduction Garbage : discarded or useless material Collection : the act or process of collecting Garbage collection

More information

Garbage Collection (aka Automatic Memory Management) Douglas Q. Hawkins. Why?

Garbage Collection (aka Automatic Memory Management) Douglas Q. Hawkins.  Why? Garbage Collection (aka Automatic Memory Management) Douglas Q. Hawkins http://www.dougqh.net dougqh@gmail.com Why? Leaky Abstraction 2 of 3 Optimization Flags Are For Memory Management Unfortunately,

More information

High-Level Language VMs

High-Level Language VMs High-Level Language VMs Outline Motivation What is the need for HLL VMs? How are these different from System or Process VMs? Approach to HLL VMs Evolutionary history Pascal P-code Object oriented HLL VMs

More information

Concurrent Garbage Collection

Concurrent Garbage Collection Concurrent Garbage Collection Deepak Sreedhar JVM engineer, Azul Systems Java User Group Bangalore 1 @azulsystems azulsystems.com About me: Deepak Sreedhar JVM student at Azul Systems Currently working

More information

Garbage Collection. Hwansoo Han

Garbage Collection. Hwansoo Han Garbage Collection Hwansoo Han Heap Memory Garbage collection Automatically reclaim the space that the running program can never access again Performed by the runtime system Two parts of a garbage collector

More information

JAVA PERFORMANCE. PR SW2 S18 Dr. Prähofer DI Leopoldseder

JAVA PERFORMANCE. PR SW2 S18 Dr. Prähofer DI Leopoldseder JAVA PERFORMANCE PR SW2 S18 Dr. Prähofer DI Leopoldseder OUTLINE 1. What is performance? 1. Benchmarking 2. What is Java performance? 1. Interpreter vs JIT 3. Tools to measure performance 4. Memory Performance

More information

Memory. don t forget to take out the

Memory. don t forget to take out the Memory don t forget to take out the garbage find me on twitter find me on twitter content warnings cw: large animation https://flic.kr/p/vdfhkw the programmer never needs to worry about deallocation

More information

JVM Troubleshooting MOOC: Troubleshooting Memory Issues in Java Applications

JVM Troubleshooting MOOC: Troubleshooting Memory Issues in Java Applications JVM Troubleshooting MOOC: Troubleshooting Memory Issues in Java Applications Poonam Parhar JVM Sustaining Engineer Oracle Lesson 1 HotSpot JVM Memory Management Poonam Parhar JVM Sustaining Engineer Oracle

More information

Standardize caching in Java. Introduction to JCache and In-Memory data grid solutions

Standardize caching in Java. Introduction to JCache and In-Memory data grid solutions Standardize caching in Java Introduction to JCache and In-Memory data grid solutions Agenda 1. What is caching? 2. JCache overview 3. Quick walk through providers 4. C2MON highlights What is caching? What

More information

CS Computer Systems. Lecture 8: Free Memory Management

CS Computer Systems. Lecture 8: Free Memory Management CS 5600 Computer Systems Lecture 8: Free Memory Management Recap of Last Week Last week focused on virtual memory Gives each process the illusion of vast, empty memory Offers protection and isolation 31

More information

A new Mono GC. Paolo Molaro October 25, 2006

A new Mono GC. Paolo Molaro October 25, 2006 A new Mono GC Paolo Molaro lupus@novell.com October 25, 2006 Current GC: why Boehm Ported to the major architectures and systems Featurefull Very easy to integrate Handles managed pointers in unmanaged

More information

Low latency & Mechanical Sympathy: Issues and solutions

Low latency & Mechanical Sympathy: Issues and solutions Low latency & Mechanical Sympathy: Issues and solutions Jean-Philippe BEMPEL Performance Architect @jpbempel http://jpbempel.blogspot.com ULLINK 2016 Low latency order router pure Java SE application FIX

More information

The Z Garbage Collector Low Latency GC for OpenJDK

The Z Garbage Collector Low Latency GC for OpenJDK The Z Garbage Collector Low Latency GC for OpenJDK Per Lidén & Stefan Karlsson HotSpot Garbage Collection Team Jfokus VM Tech Summit 2018 Safe Harbor Statement The following is intended to outline our

More information

Exploiting the Behavior of Generational Garbage Collector

Exploiting the Behavior of Generational Garbage Collector Exploiting the Behavior of Generational Garbage Collector I. Introduction Zhe Xu, Jia Zhao Garbage collection is a form of automatic memory management. The garbage collector, attempts to reclaim garbage,

More information

CMSC 330: Organization of Programming Languages

CMSC 330: Organization of Programming Languages CMSC 330: Organization of Programming Languages Memory Management and Garbage Collection CMSC 330 - Spring 2013 1 Memory Attributes! Memory to store data in programming languages has the following lifecycle

More information

Dynamic Memory Management

Dynamic Memory Management Dynamic Memory Management Professor Jennifer Rexford http://www.cs.princeton.edu/~jrex 1 Goals of Today s Lecture Dynamic memory management o Garbage collection by the run-time system (Java) o Manual deallocation

More information

Compact Off-Heap Structures in the Java Language

Compact Off-Heap Structures in the Java Language Steve Poole May 2013 Compact Off-Heap Structures in the Java Language Important Disclaimers THE INFORMATION CONTAINED IN THIS PRESENTATION IS PROVIDED FOR INFORMATIONAL PURPOSES ONLY. WHILST EFFORTS WERE

More information

Windows Java address space

Windows Java address space Windows Java address space This article applies to the IBM 32-bit SDK and Runtime Environment for Windows, Java2 Technology Edition. It explains how the process space for Java is divided and explores a

More information

The Z Garbage Collector An Introduction

The Z Garbage Collector An Introduction The Z Garbage Collector An Introduction Per Lidén & Stefan Karlsson HotSpot Garbage Collection Team FOSDEM 2018 Safe Harbor Statement The following is intended to outline our general product direction.

More information

Dynamic Memory Management

Dynamic Memory Management Dynamic Memory Management 1 Goals of this Lecture Help you learn about: Dynamic memory management techniques Garbage collection by the run-time system (Java) Manual deallocation by the programmer (C, C++)

More information

LANGUAGE RUNTIME NON-VOLATILE RAM AWARE SWAPPING

LANGUAGE RUNTIME NON-VOLATILE RAM AWARE SWAPPING Technical Disclosure Commons Defensive Publications Series July 03, 2017 LANGUAGE RUNTIME NON-VOLATILE AWARE SWAPPING Follow this and additional works at: http://www.tdcommons.org/dpubs_series Recommended

More information

Run-time Environments -Part 3

Run-time Environments -Part 3 Run-time Environments -Part 3 Y.N. Srikant Computer Science and Automation Indian Institute of Science Bangalore 560 012 NPTEL Course on Compiler Design Outline of the Lecture Part 3 What is run-time support?

More information

Heap Management. Heap Allocation

Heap Management. Heap Allocation Heap Management Heap Allocation A very flexible storage allocation mechanism is heap allocation. Any number of data objects can be allocated and freed in a memory pool, called a heap. Heap allocation is

More information

JamaicaVM Java for Embedded Realtime Systems

JamaicaVM Java for Embedded Realtime Systems JamaicaVM Java for Embedded Realtime Systems... bringing modern software development methods to safety critical applications Fridtjof Siebert, 25. Oktober 2001 1 Deeply embedded applications Examples:

More information

Memory Management: The Details

Memory Management: The Details Lecture 10 Memory Management: The Details Sizing Up Memory Primitive Data Types Complex Data Types byte: char: short: basic value (8 bits) 1 byte 2 bytes Pointer: platform dependent 4 bytes on 32 bit machine

More information

10/26/2017 Universal Java GC analysis tool - Java Garbage collection log analysis made easy

10/26/2017 Universal Java GC analysis tool - Java Garbage collection log analysis made easy Analysis Report GC log le: atlassian-jira-gc-2017-10-26_0012.log.0.current Duration: 14 hrs 59 min 51 sec System Time greater than User Time In 25 GC event(s), 'sys' time is greater than 'usr' time. It's

More information

Dynamic Memory Allocation: Basic Concepts

Dynamic Memory Allocation: Basic Concepts Dynamic Memory Allocation: Basic Concepts CSE 238/2038/2138: Systems Programming Instructor: Fatma CORUT ERGİN Slides adapted from Bryant & O Hallaron s slides 1 Today Basic concepts Implicit free lists

More information

Debugging Your Production JVM TM Machine

Debugging Your Production JVM TM Machine Debugging Your Production JVM TM Machine Ken Sipe Perficient (PRFT) kensipe@gmail.com @kensipe Abstract > Learn the tools and techniques used to monitor, trace and debugging running Java applications.

More information

Memory management. Johan Montelius KTH

Memory management. Johan Montelius KTH Memory management Johan Montelius KTH 2017 1 / 22 C program # include int global = 42; int main ( int argc, char * argv []) { if( argc < 2) return -1; int n = atoi ( argv [1]); int on_stack

More information

Dynamic Storage Allocation

Dynamic Storage Allocation 6.172 Performance Engineering of Software Systems LECTURE 10 Dynamic Storage Allocation Charles E. Leiserson October 12, 2010 2010 Charles E. Leiserson 1 Stack Allocation Array and pointer A un Allocate

More information

CMSC 330: Organization of Programming Languages

CMSC 330: Organization of Programming Languages CMSC 330: Organization of Programming Languages Memory Management and Garbage Collection CMSC 330 Spring 2017 1 Memory Attributes Memory to store data in programming languages has the following lifecycle

More information

HBase Practice At Xiaomi.

HBase Practice At Xiaomi. HBase Practice At Xiaomi huzheng@xiaomi.com About This Talk Async HBase Client Why Async HBase Client Implementation Performance How do we tuning G1GC for HBase CMS vs G1 Tuning G1GC G1GC in XiaoMi HBase

More information

Dynamic Memory Management! Goals of this Lecture!

Dynamic Memory Management! Goals of this Lecture! Dynamic Memory Management!!! 1 Goals of this Lecture! Help you learn about:! Dynamic memory management techniques! Garbage collection by the run-time system (Java)! Manual deallocation by the programmer

More information

Dynamic Memory Allocation

Dynamic Memory Allocation Dynamic Memory Allocation CS61, Lecture 10 Prof. Stephen Chong October 4, 2011 Announcements 1/2 Assignment 4: Malloc Will be released today May work in groups of one or two Please go to website and enter

More information

Java Performance Tuning From A Garbage Collection Perspective. Nagendra Nagarajayya MDE

Java Performance Tuning From A Garbage Collection Perspective. Nagendra Nagarajayya MDE Java Performance Tuning From A Garbage Collection Perspective Nagendra Nagarajayya MDE Agenda Introduction To Garbage Collection Performance Problems Due To Garbage Collection Performance Tuning Manual

More information

New Java performance developments: compilation and garbage collection

New Java performance developments: compilation and garbage collection New Java performance developments: compilation and garbage collection Jeroen Borgers @jborgers #jfall17 Part 1: New in Java compilation Part 2: New in Java garbage collection 2 Part 1 New in Java compilation

More information

Managed runtimes & garbage collection. CSE 6341 Some slides by Kathryn McKinley

Managed runtimes & garbage collection. CSE 6341 Some slides by Kathryn McKinley Managed runtimes & garbage collection CSE 6341 Some slides by Kathryn McKinley 1 Managed runtimes Advantages? Disadvantages? 2 Managed runtimes Advantages? Reliability Security Portability Performance?

More information

Java Performance Tuning

Java Performance Tuning 443 North Clark St, Suite 350 Chicago, IL 60654 Phone: (312) 229-1727 Java Performance Tuning This white paper presents the basics of Java Performance Tuning and its preferred values for large deployments

More information

Managed runtimes & garbage collection

Managed runtimes & garbage collection Managed runtimes Advantages? Managed runtimes & garbage collection CSE 631 Some slides by Kathryn McKinley Disadvantages? 1 2 Managed runtimes Portability (& performance) Advantages? Reliability Security

More information

Run-Time Environments/Garbage Collection

Run-Time Environments/Garbage Collection Run-Time Environments/Garbage Collection Department of Computer Science, Faculty of ICT January 5, 2014 Introduction Compilers need to be aware of the run-time environment in which their compiled programs

More information

Name, Scope, and Binding. Outline [1]

Name, Scope, and Binding. Outline [1] Name, Scope, and Binding In Text: Chapter 3 Outline [1] Variable Binding Storage bindings and lifetime Type bindings Type Checking Scope Lifetime vs. Scope Referencing Environments N. Meng, S. Arthur 2

More information

SABLEJIT: A Retargetable Just-In-Time Compiler for a Portable Virtual Machine p. 1

SABLEJIT: A Retargetable Just-In-Time Compiler for a Portable Virtual Machine p. 1 SABLEJIT: A Retargetable Just-In-Time Compiler for a Portable Virtual Machine David Bélanger dbelan2@cs.mcgill.ca Sable Research Group McGill University Montreal, QC January 28, 2004 SABLEJIT: A Retargetable

More information

MultiJav: A Distributed Shared Memory System Based on Multiple Java Virtual Machines. MultiJav: Introduction

MultiJav: A Distributed Shared Memory System Based on Multiple Java Virtual Machines. MultiJav: Introduction : A Distributed Shared Memory System Based on Multiple Java Virtual Machines X. Chen and V.H. Allan Computer Science Department, Utah State University 1998 : Introduction Built on concurrency supported

More information

Towards High Performance Processing in Modern Java-based Control Systems. Marek Misiowiec Wojciech Buczak, Mark Buttner CERN ICalepcs 2011

Towards High Performance Processing in Modern Java-based Control Systems. Marek Misiowiec Wojciech Buczak, Mark Buttner CERN ICalepcs 2011 Towards High Performance Processing in Modern Java-based Control Systems Marek Misiowiec Wojciech Buczak, Mark Buttner CERN ICalepcs 2011 Performance with soft real time Distributed system - Monitoring

More information

Dynamic Memory Allocation: Basic Concepts

Dynamic Memory Allocation: Basic Concepts Dynamic Memory Allocation: Basic Concepts 15-213: Introduction to Computer Systems 19 th Lecture, March 30, 2017 Instructor: Franz Franchetti & Seth Copen Goldstein 1 Today Basic concepts Implicit free

More information

GridGain and Apache Ignite In-Memory Performance with Durability of Disk

GridGain and Apache Ignite In-Memory Performance with Durability of Disk GridGain and Apache Ignite In-Memory Performance with Durability of Disk Dmitriy Setrakyan Apache Ignite PMC GridGain Founder & CPO http://ignite.apache.org #apacheignite Agenda What is GridGain and Ignite

More information

Lesson 2 Dissecting Memory Problems

Lesson 2 Dissecting Memory Problems Lesson 2 Dissecting Memory Problems Poonam Parhar JVM Sustaining Engineer Oracle Agenda 1. Symptoms of Memory Problems 2. Causes of Memory Problems 3. OutOfMemoryError messages 3 Lesson 2-1 Symptoms of

More information

ECE 598 Advanced Operating Systems Lecture 10

ECE 598 Advanced Operating Systems Lecture 10 ECE 598 Advanced Operating Systems Lecture 10 Vince Weaver http://www.eece.maine.edu/~vweaver vincent.weaver@maine.edu 17 February 2015 Announcements Homework #1 and #2 grades, HW#3 Coming soon 1 Various

More information

/** * Gimme Caching * The JCache Way */

/** * Gimme Caching * The JCache Way */ /** * Gimme Caching * The JCache Way */ Disclaimer This presentation may include certain forward-looking statements and projections provided by the Company. Any such statements and projections reflect

More information

CMSC 330: Organization of Programming Languages. Memory Management and Garbage Collection

CMSC 330: Organization of Programming Languages. Memory Management and Garbage Collection CMSC 330: Organization of Programming Languages Memory Management and Garbage Collection CMSC330 Fall 2018 1 Memory Attributes Memory to store data in programming languages has the following lifecycle

More information

6.172 Performance Engineering of Software Systems Spring Lecture 9. P after. Figure 1: A diagram of the stack (Image by MIT OpenCourseWare.

6.172 Performance Engineering of Software Systems Spring Lecture 9. P after. Figure 1: A diagram of the stack (Image by MIT OpenCourseWare. 6.172 Performance Engineering of Software Systems Spring 2009 Lecture 9 MIT OpenCourseWare Dynamic Storage Allocation Stack allocation: LIFO (last-in-first-out) Array and pointer A used unused P before

More information

Algorithms for Dynamic Memory Management (236780) Lecture 4. Lecturer: Erez Petrank

Algorithms for Dynamic Memory Management (236780) Lecture 4. Lecturer: Erez Petrank Algorithms for Dynamic Memory Management (236780) Lecture 4 Lecturer: Erez Petrank!1 March 24, 2014 Topics last week The Copying Garbage Collector algorithm: Basics Cheney s collector Additional issues:

More information

Garbage Collection. Weiyuan Li

Garbage Collection. Weiyuan Li Garbage Collection Weiyuan Li Why GC exactly? - Laziness - Performance - free is not free - combats memory fragmentation - More flame wars Basic concepts - Type Safety - Safe: ML, Java (not really) - Unsafe:

More information

Pause-Less GC for Improving Java Responsiveness. Charlie Gracie IBM Senior Software charliegracie

Pause-Less GC for Improving Java Responsiveness. Charlie Gracie IBM Senior Software charliegracie Pause-Less GC for Improving Java Responsiveness Charlie Gracie IBM Senior Software Developer charlie_gracie@ca.ibm.com @crgracie charliegracie 1 Important Disclaimers THE INFORMATION CONTAINED IN THIS

More information

Today. Dynamic Memory Allocation: Basic Concepts. Dynamic Memory Allocation. Dynamic Memory Allocation. malloc Example. The malloc Package

Today. Dynamic Memory Allocation: Basic Concepts. Dynamic Memory Allocation. Dynamic Memory Allocation. malloc Example. The malloc Package Today Dynamic Memory Allocation: Basic Concepts Basic concepts Performance concerns Approach 1: implicit free lists CSci 01: Machine Architecture and Organization October 17th-nd, 018 Your instructor:

More information

Deallocation Mechanisms. User-controlled Deallocation. Automatic Garbage Collection

Deallocation Mechanisms. User-controlled Deallocation. Automatic Garbage Collection Deallocation Mechanisms User-controlled Deallocation Allocating heap space is fairly easy. But how do we deallocate heap memory no longer in use? Sometimes we may never need to deallocate! If heaps objects

More information

Java Performance: The Definitive Guide

Java Performance: The Definitive Guide Java Performance: The Definitive Guide Scott Oaks Beijing Cambridge Farnham Kbln Sebastopol Tokyo O'REILLY Table of Contents Preface ix 1. Introduction 1 A Brief Outline 2 Platforms and Conventions 2 JVM

More information

CPSC 213. Introduction to Computer Systems. Winter Session 2017, Term 2. Unit 1c Jan 24, 26, 29, 31, and Feb 2

CPSC 213. Introduction to Computer Systems. Winter Session 2017, Term 2. Unit 1c Jan 24, 26, 29, 31, and Feb 2 CPSC 213 Introduction to Computer Systems Winter Session 2017, Term 2 Unit 1c Jan 24, 26, 29, 31, and Feb 2 Instance Variables and Dynamic Allocation Overview Reading Companion: Reference 2.4.4-5 Textbook:

More information

NUMA in High-Level Languages. Patrick Siegler Non-Uniform Memory Architectures Hasso-Plattner-Institut

NUMA in High-Level Languages. Patrick Siegler Non-Uniform Memory Architectures Hasso-Plattner-Institut NUMA in High-Level Languages Non-Uniform Memory Architectures Hasso-Plattner-Institut Agenda. Definition of High-Level Language 2. C# 3. Java 4. Summary High-Level Language Interpreter, no directly machine

More information

Q1: /8 Q2: /30 Q3: /30 Q4: /32. Total: /100

Q1: /8 Q2: /30 Q3: /30 Q4: /32. Total: /100 ECE 2035(A) Programming for Hardware/Software Systems Fall 2013 Exam Three November 20 th 2013 Name: Q1: /8 Q2: /30 Q3: /30 Q4: /32 Total: /100 1/10 For functional call related questions, let s assume

More information

Garbage-First Garbage Collection by David Detlefs, Christine Flood, Steve Heller & Tony Printezis. Presented by Edward Raff

Garbage-First Garbage Collection by David Detlefs, Christine Flood, Steve Heller & Tony Printezis. Presented by Edward Raff Garbage-First Garbage Collection by David Detlefs, Christine Flood, Steve Heller & Tony Printezis Presented by Edward Raff Motivational Setup Java Enterprise World High end multiprocessor servers Large

More information

Apple. Massive Scale Deployment / Connectivity. This is not a contribution

Apple. Massive Scale Deployment / Connectivity. This is not a contribution Netty @ Apple Massive Scale Deployment / Connectivity Norman Maurer Senior Software Engineer @ Apple Core Developer of Netty Formerly worked @ Red Hat as Netty Project Lead (internal Red Hat) Author of

More information

Manual Allocation. CS 1622: Garbage Collection. Example 1. Memory Leaks. Example 3. Example 2 11/26/2012. Jonathan Misurda

Manual Allocation. CS 1622: Garbage Collection. Example 1. Memory Leaks. Example 3. Example 2 11/26/2012. Jonathan Misurda Manual llocation Dynamic memory allocation is an obvious necessity in a programming environment. S 1622: Garbage ollection Many programming languages expose some functions or keywords to manage runtime

More information

the gamedesigninitiative at cornell university Lecture 9 Memory Management

the gamedesigninitiative at cornell university Lecture 9 Memory Management Lecture 9 Gaming Memory Constraints Redux Wii-U Playstation 4 2GB of RAM 1GB dedicated to OS Shared with GPGPU 8GB of RAM Shared GPU, 8-core CPU OS footprint unknown 2 Two Main Concerns with Memory Getting

More information

Hard Real-Time Garbage Collection in Java Virtual Machines

Hard Real-Time Garbage Collection in Java Virtual Machines Hard Real-Time Garbage Collection in Java Virtual Machines... towards unrestricted real-time programming in Java Fridtjof Siebert, IPD, University of Karlsruhe 1 Jamaica Systems Structure Exisiting GC

More information

Fundamentals of GC Tuning. Charlie Hunt JVM & Performance Junkie

Fundamentals of GC Tuning. Charlie Hunt JVM & Performance Junkie Fundamentals of GC Tuning Charlie Hunt JVM & Performance Junkie Who is this guy? Charlie Hunt Currently leading a variety of HotSpot JVM projects at Oracle Held various performance architect roles at Oracle,

More information

Acknowledgements These slides are based on Kathryn McKinley s slides on garbage collection as well as E Christopher Lewis s slides

Acknowledgements These slides are based on Kathryn McKinley s slides on garbage collection as well as E Christopher Lewis s slides Garbage Collection Last time Compiling Object-Oriented Languages Today Motivation behind garbage collection Garbage collection basics Garbage collection performance Specific example of using GC in C++

More information

Shenandoah: Theory and Practice. Christine Flood Roman Kennke Principal Software Engineers Red Hat

Shenandoah: Theory and Practice. Christine Flood Roman Kennke Principal Software Engineers Red Hat Shenandoah: Theory and Practice Christine Flood Roman Kennke Principal Software Engineers Red Hat 1 Shenandoah Christine Flood Roman Kennke Principal Software Engineers Red Hat 2 Shenandoah Why do we need

More information

Jaguar: Enabling Efficient Communication and I/O in Java

Jaguar: Enabling Efficient Communication and I/O in Java Jaguar: Enabling Efficient Communication and I/O in Java Matt Welsh and David Culler UC Berkeley Presented by David Hovemeyer Outline ' Motivation ' How it works ' Code mappings ' External objects ' Pre

More information

Software Speculative Multithreading for Java

Software Speculative Multithreading for Java Software Speculative Multithreading for Java Christopher J.F. Pickett and Clark Verbrugge School of Computer Science, McGill University {cpicke,clump}@sable.mcgill.ca Allan Kielstra IBM Toronto Lab kielstra@ca.ibm.com

More information

code://rubinius/technical

code://rubinius/technical code://rubinius/technical /GC, /cpu, /organization, /compiler weeee!! Rubinius New, custom VM for running ruby code Small VM written in not ruby Kernel and everything else in ruby http://rubini.us git://rubini.us/code

More information

Memory Management: The process by which memory is shared, allocated, and released. Not applicable to cache memory.

Memory Management: The process by which memory is shared, allocated, and released. Not applicable to cache memory. Memory Management Page 1 Memory Management Wednesday, October 27, 2004 4:54 AM Memory Management: The process by which memory is shared, allocated, and released. Not applicable to cache memory. Two kinds

More information

Dynamic Data Structures. CSCI 112: Programming in C

Dynamic Data Structures. CSCI 112: Programming in C Dynamic Data Structures CSCI 112: Programming in C 1 It s all about flexibility In the programs we ve made so far, the compiler knows at compile time exactly how much memory to allocate for each variable

More information

A Tour to Spur for Non-VM Experts. Guille Polito, Christophe Demarey ESUG 2016, 22/08, Praha

A Tour to Spur for Non-VM Experts. Guille Polito, Christophe Demarey ESUG 2016, 22/08, Praha A Tour to Spur for Non-VM Experts Guille Polito, Christophe Demarey ESUG 2016, 22/08, Praha From a user point of view We are working on the new Pharo Kernel Bootstrap: create an image from scratch - Classes

More information

Runtime Defenses against Memory Corruption

Runtime Defenses against Memory Corruption CS 380S Runtime Defenses against Memory Corruption Vitaly Shmatikov slide 1 Reading Assignment Cowan et al. Buffer overflows: Attacks and defenses for the vulnerability of the decade (DISCEX 2000). Avijit,

More information

Inside the Garbage Collector

Inside the Garbage Collector Inside the Garbage Collector Agenda Applications and Resources The Managed Heap Mark and Compact Generations Non-Memory Resources Finalization Hindering the GC Helping the GC 2 Applications and Resources

More information

Today. Dynamic Memory Allocation: Basic Concepts. Dynamic Memory Allocation. Dynamic Memory Allocation. malloc Example. The malloc Package

Today. Dynamic Memory Allocation: Basic Concepts. Dynamic Memory Allocation. Dynamic Memory Allocation. malloc Example. The malloc Package Today Dynamic Memory Allocation: Basic Concepts Basic concepts Performance concerns Approach 1: implicit free lists CSci 01: Machine Architecture and Organization Lecture #9, April th, 016 Your instructor:

More information

Introduction to Computer Systems /18 243, fall th Lecture, Oct. 22 th

Introduction to Computer Systems /18 243, fall th Lecture, Oct. 22 th Introduction to Computer Systems 15 213/18 243, fall 2009 16 th Lecture, Oct. 22 th Instructors: Gregory Kesden and Markus Püschel Today Dynamic memory allocation Process Memory Image %esp kernel virtual

More information

Requirements, Partitioning, paging, and segmentation

Requirements, Partitioning, paging, and segmentation Requirements, Partitioning, paging, and segmentation Main Memory: The Big Picture kernel memory proc struct kernel stack/u area Stack kernel stack/u area Stack kernel stack/u area Stack Data Text (shared)

More information

Easy Distributed Systems Using Hazelcast. Peter Veentjer

Easy Distributed Systems Using Hazelcast. Peter Veentjer Easy Distributed Systems Using Hazelcast Peter Veentjer Whoami Working for Hazelcast Team Lead Quality & Performance Author of Mastering Hazelcast 3' 14 years Java experience Big love Concurrency control

More information

Complex, concurrent software. Precision (no false positives) Find real bugs in real executions

Complex, concurrent software. Precision (no false positives) Find real bugs in real executions Harry Xu May 2012 Complex, concurrent software Precision (no false positives) Find real bugs in real executions Need to modify JVM (e.g., object layout, GC, or ISA-level code) Need to demonstrate realism

More information