Researchers in Australia and the U.S. have made exciting headway in the quantum computing arms race. A multi-institutional team including the University of New South Wales and Sandia National Lab …
It was with a hint of nostalgia that Argonne Lab’s Bill Allcock described the Argonne Leadership Computing Facility’s (ALCF) decision to switch to a commercially-supported workload management …
February 9, 2021
The Khronos Group today formally launched SYCL 2020, the parallel programming framework based on IS0 standard C++ that has been gaining traction in HPC and will Read more…
January 13, 2021
The rapid adoption of Julia, the open source, high level programing language with roots at MIT, shows no sign of slowing according to data from Julialang.org. I Read more…
June 23, 2020
The ISC20 experience this year via livestreaming and pre-recordings is interesting and perhaps a bit odd. That said presenters’ efforts to condense their comments makes for economic use of your time. Torsten Hoefler’s whirlwind 12-minute tour of ML is a great example. Hoefler, leader of the planned ISC20 Machine Learning... Read more…
March 25, 2020
Chip designers are drawing on new cloud resources along with conventional electronic design automation (EDA) tools to accelerate IC templates from tape-out to c Read more…
March 10, 2020
Last week, a notification on my phone said SC20 was ready for submissions and it reminded me of my awesome experience as a SCinet student volunteer at SC19 held Read more…
February 4, 2020
Writing software to run efficiently on today’s heterogeneous compute architectures is an ongoing challenge made increasingly difficult by the growing number o Read more…
December 23, 2019
What does 2020 look like to you? What did 2019 look like? Lots happened but the main trends were carryovers from 2018 – AI messaging again blanketed everything; the roll-out of new big machines and exascale announcements continued; processor diversity and system disaggregation kicked up a notch; hyperscalers continued flexing their muscles (think AWS and its Graviton2 processor); and the U.S. and China continued their awkward trade war. Read more…
December 19, 2019
The U.S. Energy Department’s research arm is leveraging machine learning technologies to simplify the design process for energy systems ranging from photovolt Read more…
For many organizations, decisions about whether to run HPC workloads in the cloud or in on-premises datacenters are less all-encompassing and more about leveraging both infrastructures strategically to optimize HPC workloads across hybrid environments. From multi-clouds to on-premises, dark, edge, and point of presence (PoP) datacenters, data comes from all directions and in all forms while HPC workloads run in every dimension of modern datacenter schemes. HPC has become multi-dimensional and must be managed as such.
This white paper explores several of these new strategies and tools for optimizing HPC workloads across all dimensions to achieve breakthrough results in Microsoft Azure.
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