57%
11.11.2011
to the website, the XSEDE User Access Layer provides a comprehensive view of the resources available -- not just those at XSEDE partner sites, but any resources. It integrates authentication and job monitoring
57%
15.12.2011
OpenACC lets scientific and technical programmers more easily take advantage of the power of heterogeneous CPU/GPU computing systems. OpenACC allows programmers to provide simple hints, known
57%
17.05.2012
GPUs, including dynamic parallelism. NVidia also worked with LLVM developers to provide its CUDA compiler source code changes to the LLVM core and parallel thread execution back end. LLVM is a widely
57%
26.07.2012
the initial capital expense, and, for temporary workload peaks, excess cycles are provided by Penguin’s public HPC cloud. Examples of hybrid cloud deployments include the University of Delaware and Memphis
57%
25.08.2016
The US National Science Foundation has announced a $110 million grant to XSEDE (the Extreme Science and Engineering Discovery Environment) to “provide services and support for advanced computational
57%
26.01.2017
, with faster performance, providing a big step toward production applications in optimization, cybersecurity, machine learning, and sampling.”
D-Wave also announced their first customer for the 2000Q system
57%
14.04.2021
.”
The LTLT program will provide “... open licensing opportunities with commercial technology vendors to the researchers behind the Agency’s programs. Through this initiative, DARPA researchers – or performers
57%
06.11.2013
AMD has announced it will provide live webcasting of the keynote presentations at this year’s APU13 event, which runs from November 11 to 13 in San Jose, CA. APU13 is a summit for programmers
57%
18.12.2013
for Supercomputing Applications (NCSA). According to the NSF, "The goal of this project and system is to open up new possibilities in science and engineering by providing computational capability that makes
57%
26.03.2014
of the research is to provide software solutions that will increase the speed and efficiency for data-intensive application but still support high-performance computing techniques for solving large, complex
