Every important benchmark needs to start somewhere.
The first round of MLperf results are in and while they might not deliver on what we would have expected in terms of processor diversity and a complete view into scalability and performance, they do shed light on some developments that go beyond sheer hardware when it comes to deep learning training. …
The idea of a “private” file system—one that runs within a user’s specific job and is tailored to the I/O requirements of a particular workload—is not necessarily new, but it is gaining steam given changing hardware capabilities and workload demands in large HPC environments. …
When it comes to parallel file systems, few people understand the evolution of challenges better than Sven Oehme, who was part of the original team at IBM building GPFS. …
As we well know by now, workloads at supercomputing sites large and small are changing with the introduction of machine learning and more complex applications that require both large and small files. …
It tends to get overlooked in favor of GPU acceleration but scaling deep learning on existing CPU-based HPC infrastructure is not just possible, but with the right level of optimization and fine-tuning, the performance and efficiency results can be comparable. …
Those who follow commercial supercomputing already know that automotive design is a hot area for high performance computing, but Indycar is taking modeling and simulation in unexpected directions—and it could change both the cars and how drivers approach the sport in the near term. …
The countdown to the annual Supercomputing Conference has begun. As The Next Platform gears up to deliver in-depth analysis of this year’s most important HPC innovations, take a moment to plan your path at the show with some of our leading SC18 partners. …
It might have been difficult to see this happening a mere few years ago, but the National Nuclear Security Administration and one of its key supercomputing sites are looking past Intel to Arm-based supercomputers in hopes of reaching efficiency and memory bandwidth targets needed for nuclear stockpile simulations. …
IBM, Google, and D-Wave tend to garner the headlines about quantum computing, but aside from a brief hubbub around the Tangle Lake quantum chip announcement earlier this year, insight into Intel’s quantum strategy tends to lag. …
Computing power and big data are fundamental to the bioinformatic research being carried out by the Leadership Computing Facility at the Oak Ridge National Laboratory (ORNL) in Tennessee. …
All Content Copyright 2017 The Next Platform
