Modern heterogeneous multiprocessors integrate CPU and GPU together to provide a boost to computational perfor-mance. With tighter integration of CPU and GPU, it is criti-cal to share and move data more efficiently in order to lever-age the computational power that a GPU can provide. Ini-tially, DMA or PCIe devices were used to transfer data be-tween CPU and GPU with low efficiency and little flexibil-ity. Recently single address space and coherent cache hier-archies are being adopted in heterogeneous architectures to share data more efficiently. Thus it is becoming critical to understand the communications overheads in this new con-text and to improve communication efficiencies for these ar-chitectures. This paper proposes a novel approach...
Field-Programmable Gate Arrays (FPGAs) systems now comprise many processing elements that are proce...
Heterogeneous systems have emerged as state-of-the-art computing solutions. Such systems consist of ...
textThis dissertation explores techniques for reducing the costs of inter-processor communication i...
Modern heterogeneous multiprocessors integrate CPU and GPU together to provide a boost to computatio...
Integrated Heterogeneous System (IHS) processors pack throughput-oriented General-Purpose Graphics P...
Heterogeneous systems are ubiquitous in the field of High- Performance Computing (HPC). Graphics pro...
Heterogeneous multicore processors that take full advantage of CPUs and GPUs within the same chip ra...
General-purpose computing on GPUs has become more accessible due to features such as shared virtual ...
Current heterogeneous CPU-GPU architectures integrate general purpose CPUs and highly thread-level p...
In embedded system-on-a-chip (SoC) applications, the demand for integrating heterogeneous processors...
Abstract—Graphics processing units (GPUs) embrace many-core compute devices where massively parallel...
High performance computing (HPC) applications have parallel code sections that must scale to large n...
International audienceInitially introduced as special-purpose accelerators for graphics applications...
The proliferation of heterogeneous compute platforms, of which CPU/GPU is a prevalent example, neces...
<p>The continued growth of the computational capability of throughput processors has made throughput...
Field-Programmable Gate Arrays (FPGAs) systems now comprise many processing elements that are proce...
Heterogeneous systems have emerged as state-of-the-art computing solutions. Such systems consist of ...
textThis dissertation explores techniques for reducing the costs of inter-processor communication i...
Modern heterogeneous multiprocessors integrate CPU and GPU together to provide a boost to computatio...
Integrated Heterogeneous System (IHS) processors pack throughput-oriented General-Purpose Graphics P...
Heterogeneous systems are ubiquitous in the field of High- Performance Computing (HPC). Graphics pro...
Heterogeneous multicore processors that take full advantage of CPUs and GPUs within the same chip ra...
General-purpose computing on GPUs has become more accessible due to features such as shared virtual ...
Current heterogeneous CPU-GPU architectures integrate general purpose CPUs and highly thread-level p...
In embedded system-on-a-chip (SoC) applications, the demand for integrating heterogeneous processors...
Abstract—Graphics processing units (GPUs) embrace many-core compute devices where massively parallel...
High performance computing (HPC) applications have parallel code sections that must scale to large n...
International audienceInitially introduced as special-purpose accelerators for graphics applications...
The proliferation of heterogeneous compute platforms, of which CPU/GPU is a prevalent example, neces...
<p>The continued growth of the computational capability of throughput processors has made throughput...
Field-Programmable Gate Arrays (FPGAs) systems now comprise many processing elements that are proce...
Heterogeneous systems have emerged as state-of-the-art computing solutions. Such systems consist of ...
textThis dissertation explores techniques for reducing the costs of inter-processor communication i...