Add to ORKGperp.fr The use of GPUs for general-purpose applications promises huge performance returns for a small investment. However the internal design of such processors is undocumented and many details are unknown, preventing developers to opti-mize their code for these architectures. One solution is to use functional simulation to determine program behavior and gather statistics when counters are missing or unavailable. In this article we present a GPU functional simulator target-ing GPGPU based on the UNISIM framework which takes a NVIDIA cubin file as input. 1
GPUs critically rely on a complex system software stack comprising kernel- and user-space drivers an...
[Abstract] This work deals with the new programming paradigm that exploits the benefits of modern G...
Current Graphics Processing Units (GPUs) are high-performance, low-cost parallel processors. This ma...
Abstract. We present a GPU functional simulator targeting GPGPU based on the UNISIM framework which ...
Graphics processing units (GPU), due to their massive computational power with up to thousands of co...
Abstract—Graphics processing units (GPU), due to their massive computational power with up to thousa...
Graphics Processing Units (GPUs) critically rely on a complex system software stack comprising kerne...
In this paper we describe a multipurpose tool for analysis of the performance characteristics of com...
We present nGFSIM, a GPU-based fault simulator for stuck-at faults which can report the fault covera...
Graphical processing units (GPUs) have recently attracted attention for scientific applications such...
summary:The current powerful graphics cards, providing stunning real-time visual effects for compute...
Graphical Processing Units (GPUs) have recently attracted attention for certain scientific simulatio...
Product data parallel GPU processor has recently attracted many application developers attention. GP...
Over the past few years, we have seen an exponential performance boost of the graphics processing un...
Architecture simulation is an important performance modeling approach. Modeling hardware components ...
GPUs critically rely on a complex system software stack comprising kernel- and user-space drivers an...
[Abstract] This work deals with the new programming paradigm that exploits the benefits of modern G...
Current Graphics Processing Units (GPUs) are high-performance, low-cost parallel processors. This ma...
Abstract. We present a GPU functional simulator targeting GPGPU based on the UNISIM framework which ...
Graphics processing units (GPU), due to their massive computational power with up to thousands of co...
Abstract—Graphics processing units (GPU), due to their massive computational power with up to thousa...
Graphics Processing Units (GPUs) critically rely on a complex system software stack comprising kerne...
In this paper we describe a multipurpose tool for analysis of the performance characteristics of com...
We present nGFSIM, a GPU-based fault simulator for stuck-at faults which can report the fault covera...
Graphical processing units (GPUs) have recently attracted attention for scientific applications such...
summary:The current powerful graphics cards, providing stunning real-time visual effects for compute...
Graphical Processing Units (GPUs) have recently attracted attention for certain scientific simulatio...
Product data parallel GPU processor has recently attracted many application developers attention. GP...
Over the past few years, we have seen an exponential performance boost of the graphics processing un...
Architecture simulation is an important performance modeling approach. Modeling hardware components ...
GPUs critically rely on a complex system software stack comprising kernel- and user-space drivers an...
[Abstract] This work deals with the new programming paradigm that exploits the benefits of modern G...
Current Graphics Processing Units (GPUs) are high-performance, low-cost parallel processors. This ma...