Current graphics processing units (GPUs) utilize the single in-struction multiple thread (SIMT) execution model. With SIMT, a group of logical threads executes such that all threads in the group execute a single common instruction on a particular cycle. To en-able control flow to diverge within the group of threads, GPUs partially serialize execution and follow a single control flow path at a time. The execution of the threads in the group that are not on the current path is masked. Most current GPUs rely on a hardware reconvergence stack to track the multiple concurrent paths and to choose a single path for execution. Control flow paths are pushed onto the stack when they diverge and are popped off of the stack to enable threads to reconve...
Parallel architectures following the SIMT model such as GPUs benefit from application regularity by ...
International audienceThread divergence optimization in GPU architectures have long been hindered by...
Abstract—The wide availability and the Single-Instruction Multiple-Thread (SIMT)-style programming m...
Current graphics processing units (GPUs) utilize the single instruction multiple thread (SIMT) execu...
General Purpose Graphical Processing Units (GPGPUs) rose to prominence with the release of the Fermi...
International audienceSingle-Instruction Multiple-Thread (SIMT) micro-architectures implemented in G...
Graphic processing units (GPUs) are composed of a group of single-instruction multiple data (SIMD) s...
Manycore accelerators such as graphics processor units (GPUs) organize processing units into single-...
Recent advances in graphics processing units (GPUs) have resulted in massively parallel hardware tha...
Branch divergence is a very commonly occurring performance problem in GPGPU in which the execution o...
The SIMT execution model implemented in GPUs synchronizes groups of threads to run their common inst...
Recent advances in graphics processing units (GPUs) have resulted in massively parallel hard-ware th...
GPUs are becoming a primary resource of computing power. They use a single instruction, multiple thr...
Many applications with regular parallelism have been shown to benefit from using Graphics Processing...
Parallel architectures following the SIMT model such as GPUs benefit from application regularity by ...
Parallel architectures following the SIMT model such as GPUs benefit from application regularity by ...
International audienceThread divergence optimization in GPU architectures have long been hindered by...
Abstract—The wide availability and the Single-Instruction Multiple-Thread (SIMT)-style programming m...
Current graphics processing units (GPUs) utilize the single instruction multiple thread (SIMT) execu...
General Purpose Graphical Processing Units (GPGPUs) rose to prominence with the release of the Fermi...
International audienceSingle-Instruction Multiple-Thread (SIMT) micro-architectures implemented in G...
Graphic processing units (GPUs) are composed of a group of single-instruction multiple data (SIMD) s...
Manycore accelerators such as graphics processor units (GPUs) organize processing units into single-...
Recent advances in graphics processing units (GPUs) have resulted in massively parallel hardware tha...
Branch divergence is a very commonly occurring performance problem in GPGPU in which the execution o...
The SIMT execution model implemented in GPUs synchronizes groups of threads to run their common inst...
Recent advances in graphics processing units (GPUs) have resulted in massively parallel hard-ware th...
GPUs are becoming a primary resource of computing power. They use a single instruction, multiple thr...
Many applications with regular parallelism have been shown to benefit from using Graphics Processing...
Parallel architectures following the SIMT model such as GPUs benefit from application regularity by ...
Parallel architectures following the SIMT model such as GPUs benefit from application regularity by ...
International audienceThread divergence optimization in GPU architectures have long been hindered by...
Abstract—The wide availability and the Single-Instruction Multiple-Thread (SIMT)-style programming m...