Modern GPUs offer much computing power at a very modest cost. Even though CUDA and other related recent developments are accelerating the use of GPUs for general purpose applicati...
With the increasing programmability of GPUs (graphics processing units), these units are emerging as an attractive computing platform not only for traditional graphics computation ...
We study the feasibility of using Graphics Processing Units (GPUs) for cryptographic processing, by exploiting the ability for GPUs to simultaneously process large quantities of pi...
Debra L. Cook, John Ioannidis, Angelos D. Keromyti...
GPUs are difficult to program for general-purpose uses. Programmers can either learn graphics APIs and convert their applications to use graphics pipeline operations or they can ...
The fact that graphics processors (GPUs) are today’s most powerful computational hardware for the dollar has motivated researchers to utilize the ubiquitous and powerful GPUs fo...
Graphics Processing Units (GPUs) have been growing in popularity due to their impressive processing capabilities, and with general purpose programming languages such as NVIDIA’s...
Accelerated graphics cards, or Graphics Processing Units (GPUs), have become ubiquitous in recent years. On the right kinds of problems, GPUs greatly surpass CPUs in terms of raw ...
Modern Graphic Processing Units (GPUs) provide sufficiently flexible programming models that understanding their performance can provide insight in designing tomorrow’s manyco...
Ali Bakhoda, George L. Yuan, Wilson W. L. Fung, He...
—The StreamIt programming model has been proposed to exploit parallelism in streaming applications on general purpose multicore architectures. This model allows programmers to sp...
Abhishek Udupa, R. Govindarajan, Matthew J. Thazhu...