Parallel computing News
June 02, 2017
The HSA Foundation has made available to developers the HSA PRM (Programmer’s Reference Manual) conformance test suite as open source software. HSA who? Yes, sorry... the HSA (Heterogeneous System ...
April 12, 2017
This is a guest post for the Computer Weekly Developer Network written by Yasmeen Ahmad in her role as practice partner for analytic business consulting at database and data services ...
January 09, 2017
If a dimensionally compressed storage medium was a reality, all data could be stored forever. Until then, how parallelism can improve workload performance remains elusive.
June 15, 2016
For many Java applications doing list processing, having transactional memory built right into Intel's commodity CPUs will result in greater server hardware performance.
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While only a small percentage of HPC applications run in the public cloud today, new services from AWS and Google could soon increase that number. Continue Reading
Grid computing uses small, distributed resources from servers and PCs to solve big problems. But will this architecture survive the cloud era? Continue Reading
Concurrent processing is a computing model in which multiple processors execute instructions simultaneously for better performance. Continue Reading
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As more big data and IoT applications find their way into the enterprise, high-performance computing in the cloud will become more mainstream. Continue Reading
Parallel computing has been around since the 1970s, but the re-emergence of multiprocessor systems may give parallel I/O a big place in the current data storage landscape. Continue Reading
High-performance computing allows for a variety of tasks in the cloud, including video encoding, an increasingly popular undertaking within Amazon Web Services. Continue Reading
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Storage systems are often perceived as performance bottlenecks, with virtualized environments contributing to higher I/O demands and with high-end apps that cannot tolerate latency. To a great degree, solid-state storage devices address many of these performance shortcomings, but in many cases, flash just pushes the bottleneck out into the storage network. While higher speed networks will help address those fabric-based performance obstacles, not all companies can easily upgrade their often extensive data and storage networks. The good news is that there are other, less disruptive ways of improving storage and storage network performance, including a revival of parallel I/O approaches, sophisticated caching methods and automated tiering functionality that matches applications with the appropriate media performance characteristics. Continue Reading
The parallel processing platforms underpinning big data systems can help machine learning newbies and vets alike. TechTarget editors discuss how that may play out in this Talking Data podcast. Continue Reading
High-performance computing systems pump up the processing power in enterprise data centers, but can be hard to keep in peak condition. Five steps put HPC applications into beast mode. Continue Reading
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