This work presents an implementation of Neocognitron Neural Network, using a high performance computing architecture based on GPU (Graphics Processing Unit). Neocognitron is an ar...
Exploiting parallelism at both the multiprocessor level and the instruction level is an e ective means for supercomputers to achieve high-performance. The amount of instruction-le...
Scott A. Mahlke, William Y. Chen, John C. Gyllenha...
We have developed a threaded parallel data streaming approach using Logistical Networking (LN) to transfer multi-terabyte simulation data from computers at NERSC to our local anal...
Viraj Bhat, Scott Klasky, Scott Atchley, Micah Bec...
Modern reconfigurable computing systems feature powerful hybrid architectures with multiple microprocessor cores, large reconfigurable logic arrays and distributed memory hierarch...
CA are useful tools in modeling and simulation. However, the more complex a CA is, the longer it takes to run in typical environments. A dedicated CA machine solves this problem by...
Cheryl A. Kincaid, Saraju P. Mohanty, Armin R. Mik...