SQLoC: Using SQL database for performance analysis of an ARM v8 SoC
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2 SQLoC: Using SQL database for performance analysis of an ARM v8 SoC Gordon Allan and Avidan Efody Mentor Graphics
3 Agenda The performance analysis problem Run time & design time configuration Use cases Finding the best configuration Performance analysis data Data sources Data storage Data visualization Performance analysis examples Use case/config. performance Node level performance Transaction performance
4 The performance analysis problem A large design time configuration space Camera Audio Display DMA Mali GPU A57 A53 L2 L2 L3 CCN504 SF DMC520 DDR GPIO Timer Flash
5 The performance analysis problem A large design time configuration space Camera Audio Display DMA Mali GPU A57 A53 L2 L2 L3 CCN504 SF DMC520 DDR GPIO Timer Flash
6 The performance analysis problem A large run time configuration space Camera Audio Display DMA Mali GPU A57 A53 BW Latency Latency CCN504 HN DMC520 DDR GPIO Timer Flash
7 The performance analysis problem A large set of use cases that must be supported Camera Audio Display DMA Mali GPU A57 A53 CCN504 DMC520 DDR
8 The performance analysis problem A large set of use cases that must be supported Camera Audio Display DMA Mali GPU A57 A53 CCN504 DMC520 DDR GPIO Timer Flash
9 The performance analysis problem The performance analysis problem Finding the best configuration for all use cases is tough Use case Config
10 Agenda The performance analysis problem Run time & design time configuration Use cases Finding the best configuration Performance analysis data Data sources Data storage Data visualization Performance analysis examples Use case/config. performance Node level performance Transaction performance
11 Performance analysis data Data sources Design time configuration could usually be picked up from the design itself during simulation time Camera Audio Display DMA Mali GPU A57 A53 L2 L2 L3 CCN504 SF Nodes Bus widths Cache sizes Buffer sizes Clocks DMC520
12 Performance analysis data Data sources Run time configuration is usually available from register files Camera Audio Display DMA Mali GPU A57 A53 CCN504 HN Latency & Bandwidth Targets QPV ranges Arbiter config DMC520 DDR GPIO Timer Flash
13 Performance analysis data Data sources Use case information : in case of a synthetic traffic source this could be picked up from the tool itself. Camera Audio Display DMA Mali GPU A57 A53 CCN504 Required BW Rd/Wr dist. Address dist. Cache hit rate Scenario DMC520 DDR GPIO Flash
14 Performance analysis data Data sources Transactions are available from verification IPs instantiated around the network or interconnect. Camera Audio Display DMA VIP VIP VIP VIP Mali GPU A57 A53 VIP VIP CCN504 VIP VIP VIP VIP Transaction Start time End time Phases Fields DMC520 VIP VIP VIP VIP VIP DDR GPIO Timer Flash
15 Performance analysis data Data sources ARMv8 performance monitors Camera Audio Display DMA Mali GPU A57 A53 CCN504 L1, L2, L3, SF hit rates Wait arbitration points CHI retries DMC520 DDR GPIO Timer Flash
16 Performance analysis data Why database? It is impossible to tell important from unimportant data at test time Might depend, for example, on how a configuration is doing in comparison to others A database provides a way of storing a large amount of data, only a fraction of which is important And of finding that fraction
17 Performance analysis data An example database structure Actual structure has to be flexible and designed according to needs and available information design_config_table Name use_case_table name 1 L2_size 1 L3_size 1 SF_size More N bridge config_table N dyn_config_table 1 N node_x_dyn_config_table N node_x_use_case_table design_config_name design_config_name design_config_name use_case_name Ibridge_name Input_buffer dyn_config_name, More dyn_config_name node_id rd_wr_dist addr_distribution output_buffer QoS_upper, QoS_lower, QoS_factor More... input_addr_width, More test_table N N 1 N node_x_tr_table design_config_name 1 test_name use_case_name dest_id, source_id Test_name, More address Latency, More N node_x_performance_table test_name time avg_latency avg_bw node_id, More
18 Performance analysis data An example database structure Dynamic config. as part of test 1 design_config_table Name L2_size L3_size SF_size More... 1 use_case_table name 1 1 N N bridge config_table design_config_name Ibridge_name Input_buffer output_buffer input_addr_width, More node_x_use_case_table use_case_name rd_wr_dist addr_distribution More... N N test_table 1 N design_config_name 1 use_case_name Test_name, More 1 N N node_x_dyn_config_table design_config_name dyn_config_name node_id QoS_upper, QoS_lower, QoS_factor Node_X_tr_table test_name dest_id, source_id address Latency, More node_x_performance_table test_name time avg_latency avg_bw node_id, More
19 Performance analysis data Visualizing the data Different ways of presenting data might expose different behavior
20 Agenda The performance analysis problem Run time & design time configuration Use cases Finding the best configuration Performance analysis data Data sources Data storage Data visualization Performance analysis examples Use case/config. performance Node level performance Transaction performance
21 Performance analysis examples System wide performance Presentations help you understand how the entire system is doing Show all use cases/configs against hard constraints Constraint ID Node name Constraint kind Goal Use case 1 GPU Minimal bandwidth User specified Gaming 2 Camera interface Minimal bandwidth User specified Camera 3 Audio interface Minimal bandwidth User specified Camera 4 Display control Maximal latency User specified HDTV More Config. Use Case HDTV Camera Gaming 1 2 More
22 Performance analysis examples Or in a more graphical format that allows configuration comparison Use Case
23 Performance analysis examples Representations are fed by basic SQL queries Find all tests for a use case where GPU BW < min value SELECT test_name, time, avg_bw FROM gpu_performance_table WHERE (test_name IN (SELECT test_name FROM test_table WHERE use_case_name == [user input]) && (avg_bw < [minimal value])) test_name time avg_bw (<minimal value) test_a ns 510MB/s test_b ns 450MB/s test_c ns 315MB/s test_c 5400 ns 1GB/s
24 Performance analysis examples Node level performance Show BW/latency from a specific node against load from all other nodes in system
25 Performance analysis examples Having per node tables in the database makes it easy to create queries for node based analysis Create a table of GPU BW against CPU BW SELECT gpu_performance_table.avg_bw, a53_performance_table.avg_latency FROM gpu_performance_table, a53_performance_table ORDER BY gpu_performance_table.avg_bw GPU_perfromance_table.avg_bw 5GB/s 5.1GB/s 5.2GB/s 5.3GB/s A53_performance_table.avg_latency 149ns 150ns 151ns 151ns
26 Performance analysis examples Transaction level performance Show transaction latency distribution Dig into the details of a specific node performance
27 Performance analysis examples Storing transactions per node allows us to link transactions Create a table showing latency before and after a bridge (assuming same address) SELECT node_x_bridge_in_tr_table.latency, node_x_bridge_out_tr_table.latency FROM node_x_bridge_in_tr_table, node_x_bridge_out_tr_table INNER JOIN node_x_bridge_in_tr_table ON node_x_bridge_in_tr_table.address=node_x_bridge_out_tr_table.address; node_x_bridge_in_tr_table.latency node_x_bridge_out_tr_table.latency 230 ns 200 ns 240 ns 215 ns 182 ns 120 ns 300 ns 140 ns
28 Summary Performance analysis requires Storing large amounts of data From a variety of sources Easily filtering the important stuff From a *lot* of garbage Dynamic crosses of data Flexible custom visualization Most of the world uses SQL just for that Why can t we?
29 Questa SLI ARMv8 system verification solution Easily collect data from your entire testbench using VIPs Store them in a customizable database Create flexible visualizations Model your traffic sources and use-cases
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