One near constant that you have been seeing in the pages of The Next Platform is that the downside of having a slowing rate at which the speed of new processors is increasing is offset by the upside of having a lot more processing elements in a device. …
The Java Virtual Machine (JVM) is a vital part of modern distributed computing. …
Collecting data is only useful to the extent that the data is analyzed. …
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. …
In the worlds of high performance computing (HPC) and physics, seemingly straightforward challenges are frequently not what they seem at first glance. …
Systems built from commodity hardware such as servers, desktops and laptops often contain so-called general-purpose processors (CPUs)—processors that specialize in doing many different things reasonably well. …
Among the many challenges ahead for programming in the exascale era is the portability and performance of codes on heterogeneous machines. …
While containers are old news in enterprise circles, by and large, high performance computing centers have just recently begun to consider packaging up their complex applications. …
Data scientists and deep and machine learning researchers rely on frameworks and libraries such as Torch, Caffe, TensorFlow, and Theano. …
Not long ago, we took a look back at the last decade of Amazon Web Services and its growth, particularly in terms of its reach into high performance computing and large-scale enterprise workloads. …
All Content Copyright The Next Platform