Performance

​Books/Resources​
​Tools​
​Benchmarks​
​Articles​
Books/Resources
​Algorithms for Modern Hardware​
​Performance explained easy blog​
Tools
​MachSuite - MachSuite is a benchmark suite intended for accelerator-centric research.
​nanoBench - A tool for running small microbenchmarks on recent Intel and AMD x86 CPUs using hardware performance coutners. Github​
​CPU Benchmark results​
​kerncraft - This tool allows automatic analysis of loop kernels using the Execution Cache Memory (ECM) model, the Roofline model and actual benchmarks. kerncraft provides a framework to investigate the data reuse and cache requirements by static code analysis. In combination with the Intel IACA tool kerncraft can give a good overview of both in-core and memory bottlenecks and use that data to apply performance models.
​TAU Performance System - A portable profiling and tracing toolkit for performance analysis of parallel programs written in Fortran, C, C++, UPC, Java, Python.
​Scalene - A high-performance CPU, GPU and memory profiler for Python
​WhyProfiler - WhyProfiler is a CPU profiler for Jupyter notebook that not only identifies hotspots but can suggest faster alternatives.
Benchmarks
​CHAI - Chai is a benchmark suite of Collaborative Heterogeneous Applications for Integrated-architectures. The Chai benchmarks are designed to use the latest features of heterogeneous architectures such as shared virtual memory and system-wide atomics to achieve efficient simultaneous collaboration between host and accelerator devices.
Articles
​Prof. Mark Hill note argues for more use of simple models beyond Amdahl's Law: Bottleneck Analysis, Little's Law, and a M/M/1 Queue.​
​How much bandwidth does the L2 have to give, anyway?​
​Every 7.8μs your computer’s memory has a hiccup​
​Computer Latency at a Human Scale​
​Latency numbers every programmer should know​
​Performance variations in 2386 identical processors​
​Memory Bandwidth: Napkin math​
​Analyzing and Debugging Performance Issues with Advanced ARM CoreLink System IP Components​
​SoC Interconnect Analysis​
​Why on-chip networks are important?​
​How to measure System Performance?​
​Understanding Complexities​
​Performance Analysis of Multi-threaded applications for beginners​
​Multithread vs Multiprocess​
​Offline Optimization for Architecting Hardware Accelerators​
Interconnects
Hardware-Software Interface
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