On a CPU based on Intel 64 or on AMD64 architecture, oneDNN detects the instruction set architecture (ISA) at runtime and uses just-in-time (JIT) code generation to deploy the code optimized for the latest supported ISA. Future ISAs may have initial support in the library disabled by defa...
GEMM functions are the most commonly used and performance-critical Intel® oneAPI Math Kernel Library (oneMKL) functions. oneMKL 2024 extends earlier optimizations for small problem sizes (MKL Direct Call,Batch API,Compact API) by introducing JIT code generation for t...
For the complete list of features, documentation, code samples, and downloads, visit the official Intel oneAPI Math Kernel Library website. If you plan to use oneMKL as part of the oneAPI Base Toolkit, consider that priority support is available as a paid option. For Intel community-support...
Code Linux kernel release 4.x <http://kernel.org/> These are the release notes for Linux version 4. Read them carefully, as they tell you what this is all about, explain how to install the kernel, and what to do if something goes wrong. WHAT IS LINUX? Linux is a clone of the op...
Code Structure The current CK library is structured into four layers from bottom to top: "Templated Tile Operator," "Templated Kernel and Invoker," "Instantiated Kernel and Invoker" and "Client API" [3] for different groups of developers: ...
SPIRAL: Code generation for DSP transforms Proc. IEEE, 93 (2) (2005), pp. 232-275 Google Scholar [23] Nukada A., Matsuoka S. Auto-tuning 3-D FFT library for CUDA GPUs Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, ACM (2009), p. 30 Goo...
mkl_random-- a NumPy-based Python interface to Intel® oneAPI Math Kernel Library (OneMKL) Random Number Generation functionality mkl_randomstarted as a part of Intel® Distribution for Python optimizations to NumPy. Per NumPy's community suggestions, voiced innumpy/numpy#8209, it is being re...
Novel-But-Familiar:Native code is always available to you as a first-class partner on your prompt engineering quest. You get the best of both worlds. Python has been central to this landmark year in AI, and it’s available in the experimental branchin preview formon the GitHub repo. At...
Use this library of math routines for compute-intensive tasks: linear algebra, FFT, RNG. Optimized for high-performance computing and data science.
Code offloadingComputation offloadingEdge computingFog computingLibrary operating systemRecently, Mobile Cloud Computing (MCC) which utilizes cloud to enhance mobile device's performance, is becoming more and more popular. A typical approach of MCC is to offload some computation-intensive tasks onto cloud...