In recent years, Graphics Processing Units (GPUs) have emerged as a powerful accelerator for general-purpose computations. Current approaches to program GPUs are still relatively low-level programming models such as Compute Unified Device Architecture (CUDA), a programming model from NVIDIA, and Open Compute Language (OpenCL), created by Apple in cooperation with others. These two programming models have all the complexity of parallel programming such as breaking up the task into smaller tasks, assigning the smaller tasks to multiple CPUs to work on simultaneously, and coordinating the CPUs. There is a growing need to lower the complexity of programming these devices. In this paper, we propose a data-parallel loop (forall) extension to the...
General-Purpose Graphics Processing Units (GPGPUs) are promising parallel platforms for high perform...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
Abstract — General-purpose computing on GPUs (graphics processing units) has received much attention...
have emerged as a powerful accelerator for general-purpose computations. GPUs are attached to every ...
AbstractGraphics processor units (GPUs) have evolved to handle throughput oriented workloads where a...
Original article can be found at : http://portal.acm.org/ Copyright ACM [Full text of this article i...
Graphical Processing Unit (GPU) programming lan-guages are used extensively for general-purpose comp...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
Graphics Processing Units (GPUs) have become a competitive accelerator for non-graphics application...
Abstract. CUDA is a data parallel programming model that supports several key abstractions- thread b...
Today, a plethora of parallel execution platforms are available. One platform in particular is the G...
The goal of the chapter is to introduce the upper-level Computer Engineering/Computer Science underg...
AbstractWe present a framework to transform PRAM programs from the PRAM programming language Fork to...
The future of computation is the GPU, i.e. the Graphical Processing Unit. The graphics cards have sh...
Programming Massively Parallel Processors discusses basic concepts about parallel programming and GP...
General-Purpose Graphics Processing Units (GPGPUs) are promising parallel platforms for high perform...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
Abstract — General-purpose computing on GPUs (graphics processing units) has received much attention...
have emerged as a powerful accelerator for general-purpose computations. GPUs are attached to every ...
AbstractGraphics processor units (GPUs) have evolved to handle throughput oriented workloads where a...
Original article can be found at : http://portal.acm.org/ Copyright ACM [Full text of this article i...
Graphical Processing Unit (GPU) programming lan-guages are used extensively for general-purpose comp...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
Graphics Processing Units (GPUs) have become a competitive accelerator for non-graphics application...
Abstract. CUDA is a data parallel programming model that supports several key abstractions- thread b...
Today, a plethora of parallel execution platforms are available. One platform in particular is the G...
The goal of the chapter is to introduce the upper-level Computer Engineering/Computer Science underg...
AbstractWe present a framework to transform PRAM programs from the PRAM programming language Fork to...
The future of computation is the GPU, i.e. the Graphical Processing Unit. The graphics cards have sh...
Programming Massively Parallel Processors discusses basic concepts about parallel programming and GP...
General-Purpose Graphics Processing Units (GPGPUs) are promising parallel platforms for high perform...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
Abstract — General-purpose computing on GPUs (graphics processing units) has received much attention...