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Persistent Memory is RevolutionaryThis site brings the world of Persistent Memory (PMem) to a community of diverse skill levels from beginner to expert across many different job functions – Developers, Infrastructure, DevOps, CTO, and more. Start your journey Join the community What is Persistent Memory?The term persistent memory is used to describe technologies which allow programs to access data
NumPy/SciPy-compatible Array Library for GPU-accelerated Computing with Python High performance with GPU CuPy is an open-source array library for GPU-accelerated computing with Python. CuPy utilizes CUDA Toolkit libraries including cuBLAS, cuRAND, cuSOLVER, cuSPARSE, cuFFT, cuDNN and NCCL to make full use of the GPU architecture. The figure shows CuPy speedup over NumPy. Most operations perform we
likwid-topology -------------------------------------------------------------------------------- CPU name: Intel(R) Core(TM) i7-6700K CPU @ 4.00GHz CPU type: Intel Skylake processor CPU stepping: 3 ******************************************************************************** Hardware Thread Topology ******************************************************************************** Sockets: 1 Core
Using Intel.com Search You can easily search the entire Intel.com site in several ways. Brand Name: Core i9 Document Number: 123456 Code Name: Emerald Rapids Special Operators: “Ice Lake”, Ice AND Lake, Ice OR Lake, Ice* Quick Links You can also try the quick links below to see results for most popular searches. Product Information Support Drivers & Software
The document summarizes a technique for efficiently performing rank and select operations on bit sequences using succinct data structures. It describes splitting the bit sequence into blocks of logarithmic size and precomputing total count values (stored in arrays L and S) to allow rank and select to be performed in O(log N) time using only o(N) extra space, where N is the length of the bit sequen
Simple SSE and SSE2 (and now NEON) optimized sin, cos, log and exp The story I have spent quite a while looking for a simple (but fast) SSE version of some basic transcendental functions (sines and exponential). On the mac, you get the vsinf and friends (in the Accelerate framework) which are nice (there is a ppc version and an intel version, Apple rox) but closed-source, and restricted to macos..
Contributors (in historical order) Roman Dementiev, Thomas Willhalm, Otto Bruggeman, Patrick Fay, Patrick Ungerer, Austen Ott, Patrick Lu, James Harris, Phil Kerly, Patrick Konsor,Andrey Semin, Michael Kanaly, Ryan Brazones, Rahul Shah, Jacob Dobkins Introduction to Intel® PCM (Performance Counter Monitor) The complexity of computing systems has tremendously increased over the last decades. Hierar
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