20%
21.11.2012
, it’s very easy to get laptops with at least two, if not four, cores. Desktops can easily have eight cores with lots of memory. You can also get x86 servers with 64 cores that access all of the memory
20%
25.09.2013
with sharing GPUs across multiple virtual machines to find the optimum system configurations. Experts from HP and NVidia will provide "advice and consultation on development and tuning of applications using GPU
20%
27.12.2011
NVidia recently announced it would provide the source code for the new NVidia CUDA LLVM-based compiler to qualified academic researchers and software tools developers.
The new source code, which
20%
16.10.2014
, and the democratization of the fruits of technology.
Dr. Piyush Mehrotra, chief at NASA Advanced Supercomputing Division, will talk about how HPC provides insights into the world in which we live.
Join your SC14 peers
20%
18.06.2015
algorithm that would provide more efficient use of resources in high-performance environments. According to team leader Charbel Farhat, “We solved over 10 billion equations in a little over three minutes
20%
24.09.2015
challenges that naturally emerge from evolving experimental needs, support visiting scientists and postdoctoral fellows from other labs and facilities, and provide a curated software portal for advanced
20%
14.01.2016
of Illinois. The goal of the project is to “open up new possibilities in science and engineering by providing computational capability that makes it possible for investigators to tackle much larger and more
20%
21.03.2018
At the American Physical Society conference in Los Angeles, Google Quantum AI lab announced the Bristlecone quantum processor. According to Google, the new 72-qubit processor is intended to provide
20%
18.04.2018
’s supercomputers. According to the announcement, the program will “… provide an opportunity for researchers to pursue transformational advances in science and technology through large allocations of computer time
20%
18.11.2019
, SLURM, and TAU.
The ROCm platform provides a vendor-neutral format for GPU-based parallel computing, allowing the programmer to write the code once and then compile for either the AMD and NVIDIA hardware
