An Introduction to the SPEC High Performance Group and their Benchmark Suites
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1 An Introduction to the SPEC High Performance Group and their Benchmark Suites Robert Henschel Manager, Scientific Applications and Performance Tuning Secretary, SPEC High Performance Group Research Technologies Indiana University May 19 th, 2015
2 Content Intro to SPEC and SPEC HPG The SPEC Benchmark Philosophy SPEC HPG Benchmarks Users and Use Cases Case Studies at Indiana University The SPEC Result Repository 2
3 Content Intro to SPEC and SPEC HPG The SPEC Benchmark Philosophy SPEC HPG Benchmarks Users and Use Cases Case Studies at Indiana University The SPEC Result Repository 3
4 Standards Performance Evaluation Corporation (SPEC) SPEC is a non-profit corporation formed to "establish, maintain and endorse a standardized set of relevant benchmarks that can be applied to the newest generation of high-performance computers" Composed of four groups Graphics and Workstation Performance Group (GWPG) High Performance Group (HPG) Open Systems Group (OSG) Research Group (RG) 4
5 5
6 SPEC High Performance Group (HPG) Develops benchmarks to represent high-performance computing applications for standardized, cross-platform performance evaluation. Benchmarks SPEC OMP2012 SPEC MPI2007 SPEC ACCEL 6
7 Content Intro to SPEC and SPEC HPG The SPEC Benchmark Philosophy SPEC HPG Benchmarks Users and Use Cases Case Studies at Indiana University The SPEC Result Repository 7
8 SPEC Benchmark Philosophy The result of a SPEC benchmark is always a SPEC score. Higher is better This score is always in relation to a reference machine. Each benchmark has its own reference machine 8
9 SPEC Benchmark Philosophy cont d SPEC (HPG) benchmarks are full applications. Including all the overhead of a real application SPEC harness ensures correctness of results. To detect overly aggressive optimization To guard against tampering Each benchmark suite has a set of run rules. 9
10 SPEC Benchmark Philosophy cont d Hierarchy within benchmark suits Benchmark suite i.e. SPEC ACCEL Benchmark i.e. OpenACC Dataset size i.e. Medium Component i.e. 350.md 10
11 SPEC Benchmark Philosophy cont d Benchmarks support Base and Peak configuration These yield separate SPEC scores. Peak runs allow for more freedom. Base runs The same compiler switches for all components The same parallelism Only portability switches allowed 11
12 SPEC Power SPEC provides a standard methodology to measure and report power usage which can be incorporated into a SPEC benchmark. Normalizes the power usage across the full run of the suite 12
13 Benchmark Development Process Group effort, with lots of discussions Final decisions are by vote, even though we strive for consensus Technical and managerial parts Find benchmark components and define run rules Using SPEC provided tools SVN, harness, common rules Websites, mailing lists, meeting venues 13
14 Result Submission Process Obtain and install the benchmark Perform a valid run Supply hardware and software description Submit result for review (and publication) to SPEC HPG 2 week review process (Define embargo period) Use the result as you would like 14
15 The Value of a Curated Result Repository Given appropriate hardware. a published result should be reproducible just with the information available in the submission. Peer reviewed results are so much better than everyone can upload a result! The value of a benchmark suite lies in public results, their correctness and the ability to compare them. 15
16 Content Intro to SPEC and SPEC HPG The SPEC Benchmark Philosophy SPEC HPG Benchmarks Users and Use Cases Case Studies at Indiana University The SPEC Result Repository 16
17 SPEC ACCEL SPEC Accel provides a comparative performance measure of Hardware accelerator devices (GPU, Co-processors, etc.) Supporting software tool chains (Compilers, Drivers, etc.) Host systems and accelerator interface (CPU, PCIe, etc.) Computationally-intensive parallel HPC applications and mini-apps Portable across multiple accelerators Two distinct benchmarks OpenACC v1.0 OpenCL v1.1 17
18 SPEC OMP2012 Follow on to SPEC OMP applications Scales up to 512 threads Support for power measurement 18
19 SPEC MPI2007 Large and medium data set 13 applications Scales to 2048 MPI processes Power not supported 19
20 Content Intro to SPEC and SPEC HPG The SPEC Benchmark Philosophy SPEC HPG Benchmarks Users and Use Cases Case Studies at Indiana University The SPEC Result Repository 20
21 SPEC USERS System vendors Accelerator vendors Software vendors Users looking for objective comparison Researchers 21
22 Vendors Marketing Drive benchmark development To utilize state of the art hardware/software features Internal validation suite Compiler OMP / MPI runtime libraries Prepare for RFPs 22
23 Application Developers Include their application in the benchmark suite Compare hardware and software stack Compilers Parallel runtimes Different versions of processors Different interconnects 23
24 HPC Centers Include the benchmarks in the RFP process Use them for performance regression testing Hardware Software System configuration and tuning Power consumption 24
25 Scalability studies Researchers Novel implementations of parallel runtime libraries Detailed power consumption studies Comparison of parallel programming paradigms 25
26 Submit results Join and Contribute Full members vs. associate members Contribute benchmark components Help with benchmark suite development Test release candidates 26
27 Number of Submissions Result Submissions by Benchmark OMP2001 (Large) OMP2001 (Medium) MPI2007 (Large) MPI2007 (Medium) OMP2012 ACCEL OpenACC ACCEL OpenCL 27
28 Content Intro to SPEC and SPEC HPG The SPEC Benchmark Philosophy SPEC HPG Benchmarks Users and Use Cases Case Studies at Indiana University The SPEC Result Repository 28
29 Use Cases (at IU) Comparing performance and energy Comparing performance of hypervisors Comparing HPC systems at a site Compare compiler performance over time Compare performance of different compilers Scalability study for different interconnects System setup questions like to use HT or not, which OS to use Compare accelerator performance 29
30 SPEC Score SPEC ACCEL OpenCL Different Hardware
31 Scores SPEC ACCEL OpenACC Different Hardware
32 SPEC Score SPEC ACCEL OpenACC IU Cray XK7 (NVIDIA Tesla K20) PGI-14.1 PGI-14.3 PGI-15.3 Cray Cray Cray Compilers 33
33 SPEC Score SPEC MPI2007 Medium Cray XE6 (AMD Opteron 6380) Core counts Packing Nodes Using only "proper" FPU Cores per Node 34
34 SPEC Score SPEC MPI2007 Medium IBM idataplex (Intel Xeon L5420) Core counts Windows MS_MPI Linux Intel_MPI-3.1 Linux OpenMPI
35 SPEC Score SPEC MPI2007 Medium Available HPC Systems at IU Core counts Cray XE6 HP DL580 IBM idataplex 36
36 SPEC Score SPEC OMP2001 Medium Native vs. Hypervisors Native KVM XEN VirtualBox 37
37 SPEC Score SPEC OMP2012 Performance and Energy (Dell PE 2970) KVM Virtual Machine vs Native Native Performance Score Energy Score 38
38 SPEC Score SPEC OMP2012 Performance and Energy Dell PowerEdge 2970 (KVM) Dell PowerEdge 2970 Systems/Environments HP Proliant DL580 G7 Performance Score Energy Score 39
39 SPEC Score SPEC OMP2012 Available HPC Systems at IU Cray XE6 HP DL580 IBM NeXtScale nx360 40
40 SPEC Score SPEC OMP2012 IBM NeXtScale nx360 (Xeon E v2) non-hypertheading hypertheading 41
41 Content Intro to SPEC and SPEC HPG The SPEC Benchmark Philosophy SPEC HPG Benchmarks Users and Use Cases Case Studies at Indiana University The SPEC Result Repository 42
42 Live Demo! 43
43 Thank you! Questions? 44
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