Add to ORKGThe tutorial at CONCUR will provide a practical overview of work undertaken over the last six years in the Multicore Programming Group at Imperial College London, and with collaborators internationally, related to understanding and reasoning about concurrency in software designed for acceleration on GPUs. In this article we provide an overview of this work, which includes contributions to data race analysis, compiler testing, memory model understanding and formalisation, and most recently efforts to enable portable GPU implementations of algorithms that require forward progress guarantees
Recent generations of GPU hardware have steadily improved the programmability, and are now able to s...
In the last three years, GPUs are more and more being used for general purpose applications instead ...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
The tutorial at CONCUR will provide a practical overview of work undertaken over the last six years ...
The tutorial at CONCUR will provide a practical overview of work undertaken over the last six years ...
Concurrency is pervasive and perplexing, particularly on graphics processing units (GPUs). Current s...
Concurrency is pervasive and perplexing, particularly on graphics processing units (GPUs). Current s...
As GPU availability has increased and programming support has matured, a wider variety of applicatio...
It is well acknowledged that the dominant mechanism for scaling processor performance has become to ...
The tremendous computing power GPUs are capable of makes of them the epicenter of an unprecedented a...
GPUs are parallel devices that are able to run thousands of independent threads concurrently. Tradi...
Each new generation of GPUs vastly increases the resources avail-able to GPGPU programs. GPU program...
Many applications with regular parallelism have been shown to benefit from using Graphics Processing...
Each new generation of GPUs vastly increases the resources available to GPGPU programs. GPU programm...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
Recent generations of GPU hardware have steadily improved the programmability, and are now able to s...
In the last three years, GPUs are more and more being used for general purpose applications instead ...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
The tutorial at CONCUR will provide a practical overview of work undertaken over the last six years ...
The tutorial at CONCUR will provide a practical overview of work undertaken over the last six years ...
Concurrency is pervasive and perplexing, particularly on graphics processing units (GPUs). Current s...
Concurrency is pervasive and perplexing, particularly on graphics processing units (GPUs). Current s...
As GPU availability has increased and programming support has matured, a wider variety of applicatio...
It is well acknowledged that the dominant mechanism for scaling processor performance has become to ...
The tremendous computing power GPUs are capable of makes of them the epicenter of an unprecedented a...
GPUs are parallel devices that are able to run thousands of independent threads concurrently. Tradi...
Each new generation of GPUs vastly increases the resources avail-able to GPGPU programs. GPU program...
Many applications with regular parallelism have been shown to benefit from using Graphics Processing...
Each new generation of GPUs vastly increases the resources available to GPGPU programs. GPU programm...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
Recent generations of GPU hardware have steadily improved the programmability, and are now able to s...
In the last three years, GPUs are more and more being used for general purpose applications instead ...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...