OpenMP: From Parallel Loops To Exaflops
This fall will mark twenty years since the publication of the v1.0 specification of OpenMP Fortran. …
This fall will mark twenty years since the publication of the v1.0 specification of OpenMP Fortran. …
In high performance computing, machine learning, and a growing set of other application areas, accelerated, heterogeneous systems are becoming the norm. …
An increasing amount of the world’s data is encapsulated in images and video and by its very nature it is difficult and extremely compute intensive to do any kind of index and search against this data compared to the relative ease with which we can do so with the textual information that heretofore has dominated both our corporate and consumer lives. …
In many ways, enterprises and hyperscalers have it easy. Very quickly in the wake of its announcement more than two decades ago, the Java programming language, a kind of virtualized C++, became the de facto standard for coding enterprise applications that run the business. …
Among the many challenges ahead for programming in the exascale era is the portability and performance of codes on heterogeneous machines. …
As the world is now aware, China is now home to the world’s most powerful supercomputer, toppling the previous reigning system, Tianhe-2, which is also located in the country. …
With the International Supercomputing 2016 conference fast approaching, the HPC community is champing at the bit to share insights on the latest technologies and techniques to make simulation and modeling applications scale further and run faster. …
It is convenient, perhaps, that large scale computing evolved just about the time the easiest and biggest strikes for oil and natural gas were over. …
Choosing a programming language for HPC used to be an easy task. …
For ARM processors to take off in the HPC arena, a whole bunch of pieces have to come together to create a platform that can compete against more established architectures. …
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