The default for Intel Xeon Phi processors is to give every processor core equal access to every part of memory including the MCDRAM. That is certainly great for programs that use shared memory across ...

Editor's note: The authors describe how the OpenMP shared memory muliticore programming model is being adapted to the needs of embedded systems designs. Multicore embedded systems are widely used in ...

This is the second in the series on the essentials of multiprocessor programming. This time around we are going to look at some of the normally little considered effects of having memory being shared ...

Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.

The Universal Parallel Computing Research Center in Illinois will live stream a presentation on Case Studies in Asynchronous, Message-Driven Shared-Memory Programming on February 24, 2011 at 2:00pm ...

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...

The European Commission has anted up €3.9 million to create a set of tools and runtime frameworks that will be used to support the exascale supercomputers to be deployed across the continent in the ...

Memory models offer the formal frameworks that define how operations on memory are executed in environments with concurrent processes. By establishing rules for the ordering and visibility of memory ...

I've been covering various scientific programs the past few months, but sometimes it's hard to find a package that does what you need. In those cases, you need to go ahead and write your own code.