Running ring_perf_auto_test in /app/test gives the number of CPU cycles, in the following screenshot output, to study the performance difference between single producer/single consumer and multi-producer/multi-consumer. It also shows the differences for different bulk sizes. The key takeaway: Using sp/sc with higher bulk sizes gives higher performance. Please note that even though the default ring_perf_autotest runs through the performance test with block sizes of 8 and 32, one can update the source code to include other desired sizes (modify the array bulk_sizes[] to include bulk sizes of int
Data Plane Development Kit: Performance Optimization Guidelines… Software Tuning Software configuration tuning is essential. From the operating system to workload configuration settings, they are all designed for general purpose applications and default settings are almost never tuned for best performance. …
… Code Optimization Handout 20 - CS 143 Summer 2008 by Maggie Johnson Document 5571159 Intel® Xeon® processor E7-8800/4800 v3 Performance Tuning Guide Intel® Optimizing Non-Sequential Data Processing Applications – Brian Forde and John Browne Measuring Cache and Memory Latency and CPU to Memory Bandw… …
… In the glibc mainline since version 2.18 speculative spin rw mutex in Intel® Threading Building Blocks Intel® TBB Article speculative spin mutex in Intel® TBB Article Paper, with details on Intel TSX support in Intel OpenMP : "A User-Guided Locking API for the OpenMP Application Program Interface" … …
… In practice, more than 20 CPU cores is recommended for service deployment. taskset -C xxx-xxx –p pid limits the number of CPU cores used in service NUMA Configuration For NUMA-based servers, there is usually a 5-10% increase in performance when configuring NUMA on the same node compared to using it… …
… It can provide the insight needed to apply those extra hand-tuning steps to your codebase. With its help, developers can identify potential performance bottlenecks and realize their application's performance potential for their targeted hardware configuration. …
… These capabilities are documented in Intel® 64 and IA-32 Architectures Optimization Reference Manual and already supported by TSX Linux perf profiler and Intel® Performance Counter Monitor Intel® PCM . …
… LTIMindtree was confronted with this challenge when fine-tuning hyperparameters to improve chatbot performance in call responses and summaries. Specifically, they wanted to select the right deep learning architecture to give chatbot exchanges a measurable improvement in performance. …
… Be sure to catch the following AI and open source sessions: Session Type Advanced OpenMP: Host Performance and 5.0 Features Tutorial Anatomy of High-Performance Deep Learning Convolutions on SIMD Architectures Paper Auto-Tuning TensorFlow Threading Model for CPU Backend Workshop CosmoFlow: Using De… …
… Runtime Versions Cross-Architecture Compilation Improves development productivity by targeting CPUs and GPUs through single-source code while permitting custom tuning Fully supports broad Fortran language standards up to and including 2018, plus select Fortran 2023 language features Incorporates in… …
… Tuning speculation requires heavily on a PMU profiler. This document describes TSX profiling using the Linux perf or “perf events” profiler, that comes integrated with newer Linux systems. …