Tags » Parallel Computing

New Hikari Supercomputer Starts Solar HVDC

Texas Advanced Computing Center (09/14/16) Jorge Salazar

The Hikari computing system at the Texas Advanced Computing Center (TACC) in Austin, TX, is the first supercomputer in the U.S. 175 more words

High Performance Computing

Reconfigurable Chaos-Based Microchips Offer Possible Solution to Moore's Law

NCSU News (09/20/16) Tracey Peake

Nonlinear, multi-functional integrated circuits could lead to novel computer architectures that can do more with fewer transistors, according to researchers at North Carolina State University (NCSU). 160 more words

Computer Science

Faster Parallel Computing

MIT News (09/13/16) Larry Hardesty

Researchers from the Massachusetts Institute of Technology’s (MIT) Computer Science and Artificial Intelligence Laboratory (CSAIL) this week are presenting Milk, a new programming language, at the 25th International Conference on Parallel Architectures and Compilation Techniques in Haifa, Israel. 169 more words

High Performance Computing

Masters thesis and parallel computing

I am currently taking a course on Parallel Computing this semester under Dr. F. Cabarle. The course will require programming on a graphics processing unit… 207 more words

Computer Science

Texas Goes Big With 18-Petaflop Supercomputer

Computerworld (06/02/16) Patrick Thibodeau

The Stampede 2 supercomputer to be set up at the Texas Advanced Computer Center (TACC) is designed to replace and approximately double the performance of Stampede, its 9-petaflop predecessor. 190 more words

High Performance Computing

U.S. Efforts to Build Next-Gen Supercomputer Take Shape

Computerworld (04/25/16) Patrick Thibodeau

The U.S. government has set a 2023 deadline to develop an exascale computer that can solve science problems 50 times faster than is possible with currently available 20-petaflop computers. 145 more words

High Performance Computing

Using Multiple Cores For MCMC Chains

I’m currently working on a research project where within a function I want to generate K posterior samples with disperse starting values via MCMC, assess convergence via scale reduction factors, and combine the latter half of these samples for future inference if convergence is met. 1,095 more words