Today SGI announced its latest win at the Institute for Solid State Physics (ISSP) of the University of Tokyo. Scheduled to start operation on July 1 of this year, the 2.65 Petaflop SGI ICE XA supercomputer will be used by material science researchers across Japan.
“The ability to accurately and efficiently study the absorption spectra of large chemical systems necessitates the development of new algorithms and the use of different architectures. We have developed a highly parallelizable algorithm in order to study excited state properties with ab initio electronic structure theory. This approach has recently been implemented to take advantage of graphical processing units to further improve efficiency.”
“In Deep Learning what we do is try to minimize the amount of hand engineering and get the neural nets to learn, more or less, everything. Instead of programing computers to do particular tasks, you program the computer to know how to learn. And then you can give it any old task, and the more data and the more computation you provide, the better it will get.”
“This talk will introduce these three debugging techniques and provide some suggestions on selecting the optimal approach for a variety of debugging scenarios such as hangs, numerical errors, and crashes. Specific examples will be given using the TotalView debugger but the concepts covered may apply to other debugging tools such as GDB and the NVIDIA NSIGHT debugger.”
Today ArrayFire announced the release of Version 3.0 of their high-speed software library for GPU computing. The new version features major changes to ArrayFire’s visualization library, a new CPU backend, and dense linear algebra for OpenCL devices. It also includes improvements across the board for ArrayFire’s OpenCL backend.