Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa ...
Since processor performance scalability will now mostly be achieved through thread-level parallelism, there is a strong incentive to parallelize a broad range of applications, inc...
stractions are extensively used to understand and solve challenging computational problems in various scientific and engineering domains. They have particularly gained prominence...
While application performance and power-efficiency are both important, application correctness is even more important. In other words, if the application is misbehaving, it is li...
Shimin Chen, Phillip B. Gibbons, Michael Kozuch, T...
Advances in high-performance computing have led to the broad use of computational studies in everyday engineering and scientific applications. A single study may require thousand...