Performance Intel® Xeon Phi Coprocessor

DGEMM Performance Benchmark

Дайджест материалов (NVIDIA breaks all) #2

NVIDIA

• NVIDIA Delivers Kepler in the Cloud
• NVIDIA представила первый «облачный» GPU
• NVIDIA shows off Tesla K10 performance
• Slidecast: Introducing CUDA 5
• NVIDIA releases CUDA 5 to support Kepler GPGPU features
• Big iMac News: Less Heft, More Kepler
• GeForce 310.33 Beta Drivers Boost Performance By Up To 15%
• Nvidia Tesla K20 GPU High Resolution pictures
• Titan
• Titan Comes to Life: 46 Million Nvidia CUDA Cores, 300,000 AMD x86 Cores
• В основе самого мощного в мире суперкомпьютера Titan – решения NVIDIA
• Oak Ridge National Laboratory debuts fastest supercomputer Cray XK7 system Titan

Other

• Опыт сборки eGPU и его взаимодействие с ноутбуком
• AMD представила 16-ядерный чип для серверов

Book: C++ AMP. Accelerated Massive Parallelism with Microsoft Visual Studio C++

Book Description
Capitalize on the faster GPU processors in today’s computers with the C++ AMP code library - and bring massive parallelism to your project. With this practical book, experienced C++ developers will learn parallel programming fundamentals with C++ AMP through detailed examples, code snippets, and case studies. Learn the advantages of parallelism and get best practices for harnessing this technology in your applications.