Two Google Fellows just published a paper in the latest issue of Communications of the ACM about MapReduce, the parallel programming model used to process more than 20 petabytes of data every day on ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

Victor Eijkhout: I see several problems with the state of parallel programming. For starters, we have too many different programming models, such as threading, message passing, and SIMD or SIMT ...

In this slidecast, Torsten Hoefler from ETH Zurich presents: Data-Centric Parallel Programming. The ubiquity of accelerators in high-performance computing has driven programming complexity beyond the ...

PARALLEL DEBUGGING Debugging needs to be addressed regardless of the parallel programming approach. Existing debuggers are simply the starting point, because most don’t address many of the features ...

Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example), sequential ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Compilers are programs that convert computer code written in high-level languages intelligible to humans into low-level instructions executable by machines. But there's more than one way to implement ...

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