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Going to Extremes
Numerical and Computational Optimization on the Intel Phi
How tuning functions for large data sets and profiling the results gets most of the benefits of the Phi's 60 cores without hand wringing and late-night hacking. - Parallel
Getting to 1 Teraflop on the Intel Phi Coprocessor
The key to truly high performance with the Phi coprocessor is to express sufficient parallelism and vector capability to fully utilize the device. Here is a timing framework that enables you to measure and optimize performance and push it past 1 teraflop. - Parallel
Exceeding Supercomputer Performance with Intel Phi
Using MPI on inexpensive clusters of Intel Xeon Phi coprocessors can produce results that exceed the performance of today's high-end supercomputers. - Parallel
CUDA: Unifying Host/Device Interactions with a Single C++ Macro
A general method to move data transparently between the host and the CUDA device. - Parallel
Programming Intel's Xeon Phi: A Jumpstart Introduction
Reaching one teraflop on Intel's new 60-core coprocessor requires a little know-how - Parallel
Apple Ties the Wireless Knot — Again
Apple was late to the game with support for the Bluetooth wireless standard, but now that it's on the field, it just might steal a few bases, if not the ball.
CUDA, Supercomputing for the Masses: Part 16
CUDA 3.0 provides expanded capabilities - Parallel
CUDA, Supercomputing for the Masses: Part 12
CUDA 2.2 Changes the Data Movement Paradigm - Parallel
CUDA, Supercomputing for the Masses: Part 10
CUDPP, a powerful data-parallel CUDA library - Parallel
