In this paper, we propose SnuCL, an OpenCL framework for heterogeneous CPU/GPU
clusters. We show that the original OpenCL semantics naturally fits to the heterogeneous …

Programming heterogeneous computing systems with Graphics Processing Units (GPU) and
multi-core CPUs in them is complex and time-consuming. OpenCL has emerged as an …

In this paper, we address the effect of the work-group size on the performance of OpenCL
kernels. We propose a profiling-based algorithm that finds a good work-group size, in terms …

Single-instruction multiple-thread (SIMT) machine emerges as a primary computing device
in high-perfor-mance computing, since the SIMT execution paradigm can exploit data-level …

Hardware specialization is becoming a key enabler of energy-efficient performance. Future
systems will be increasingly heterogeneous, integrating multiple specialized and …

This paper presents BP-BedRock, the open-source cache coherence protocol and system
implemented within the BlackParrot 64-bit RISC-V multicore processor. BP-BedRock …

The current trend in processor design is to increase the number of cores as to achieve a
desired performance. While having a large number of cores on a chip seems to be feasible …

Shared memory multi-core processor technology has seen a drastic development with faster
and increasing number of processors per chip. This new architecture challenges computer …

Manycore architectures integrate hundreds of cores on a single chip by using simple cores
and simple memory systems usually based on software-managed scratchpad memories …

Cloud computing surgiu recentemente como um novo paradigma para a indústria da
informática com relaçaoa disponibilidade e acesso a recursos através da Internet. Ela tem …