The 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
abstract: With the massive multithreading execution feature, graphics processing units (GPUs) have b...
In this dissertation, we explore multiple designs for a Distributed Transactional Memory framework f...
Each new generation of GPUs vastly increases the resources available to GPGPU programs. GPU programm...
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 ...
As GPU availability has increased and programming support has matured, a wider variety of applicatio...
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...
GPUs are parallel devices that are able to run thousands of independent threads concurrently. Tradi...
The tremendous computing power GPUs are capable of makes of them the epicenter of an unprecedented a...
Many applications with regular parallelism have been shown to benefit from using Graphics Processing...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
Each new generation of GPUs vastly increases the resources avail-able to GPGPU programs. GPU program...
Computers almost always contain one or more central processing units (CPU), each of which processes ...
It is well acknowledged that the dominant mechanism for scaling processor performance has become to ...
abstract: With the massive multithreading execution feature, graphics processing units (GPUs) have b...
In this dissertation, we explore multiple designs for a Distributed Transactional Memory framework f...
Each new generation of GPUs vastly increases the resources available to GPGPU programs. GPU programm...
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 ...
As GPU availability has increased and programming support has matured, a wider variety of applicatio...
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...
GPUs are parallel devices that are able to run thousands of independent threads concurrently. Tradi...
The tremendous computing power GPUs are capable of makes of them the epicenter of an unprecedented a...
Many applications with regular parallelism have been shown to benefit from using Graphics Processing...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
Each new generation of GPUs vastly increases the resources avail-able to GPGPU programs. GPU program...
Computers almost always contain one or more central processing units (CPU), each of which processes ...
It is well acknowledged that the dominant mechanism for scaling processor performance has become to ...
abstract: With the massive multithreading execution feature, graphics processing units (GPUs) have b...
In this dissertation, we explore multiple designs for a Distributed Transactional Memory framework f...
Each new generation of GPUs vastly increases the resources available to GPGPU programs. GPU programm...