Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...

Stanford University has been developing Plasticine, which allows parallel patterns to be reconfigured. “ABSTRACT Reconfigurable architectures have gained popularity in recent years as they allow the ...

Tim Mattson, a principal engineer at Intel’s Applications Research Laboratory, describes himself as an old-school parallel programmer. He’s been slinging code for impressively parallel machines since ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

One thing DDS systems do better than most parallel-programming environments is handle transient connections, because they support best-effort delivery. In many applications, it’s sufficient to retain ...

Non-deterministic programs generally have the worst reputation for parallel programming, which often leads to the frustration of having programs that don’t run the same way, given the same data inputs ...

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 ...