Apple's M1 chip blends high-performance P-cores with energy-efficient E-cores, dynamically scheduling tasks to maximize efficiency and performance. Embrace structured concurrency, profiling real workloads, and avoid affinity assumptions for faster, greener apps. #HeterogeneousComputing #AppleSilicon #Concurrency #PerformanceOptimization #SoftwareEngineering #Portability
#HeterogeneousComputing
Assessing Intel OneAPI capabilities and cloud-performance for heterogeneous computing
PoCL 4.0 released! Various new features to support more CUDA, HIP and SYCL app inputs via chipStar and DPC++. Also MacOS/CPU support is back and has now a maintainer, and a lot more: https://github.com/pocl/pocl/releases/tag/v4.0
#opencl #HeterogeneousComputing #opensource
What is a good book to begin learning C++? My focus is to learn C++17/C++20. I will apply it to general-purpose programming GPU (OpenCL, SYCL end HPC).
PoCL 3.1 is now out! It has LLVM 15 support, much improved SPIR-V input for CPUs and CUDA, better custom/HW accelerator device interfacing, first version of command buffer support, and other goodies! http://portablecl.org/pocl-3.1.html #opencl #HeterogeneousComputing
Would you like to do a PhD with me in #LowCarbonComputing and/or #HeterogeneousComputing ?
A number of PhD scholarships are available in my dept, Glasgow Univ Computing Science. Please contact me if interested. Deadline: 31 January 2022
“Why Is Apple’s M1 Chip So Fast?”, Erik Engheim (https://erik-engheim.medium.com/why-is-apples-m1-chip-so-fast-3262b158cba2).
Via HN: https://news.ycombinator.com/item?id=25257932
#Apple #Intel #AMD #CPU #ISA #RISC #CISC #Hardware #SoC #HeterogeneousComputing #BigLittle #AppleSilicon #M1
Client Info
Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst