In recent years, GPUs have become the preferred accelerators for HPC and ML applications
due to their parallelism and fast memory bandwidth. While GPUs boost computation, inter …

Due to their massive parallelism and high performance per Watt, GPUs have gained high
popularity in high-performance computing and are a strong candidate for future exascale …

GPUs are widespread across clusters of compute nodes due to their attractive performance
for data parallel codes. However, communicating between GPUs across the cluster is …

Current state-of-the-art in GPU networking utilizes a host-centric, kernel-boundary
communication model that reduces performance and increases code complexity. To address …

Graphics Processing Units have become the dominant type of accelerators for high-
performance computing and artificial intelligence. To support these systems, new …

Accelerated computing has become pervasive for increasing the computational power and
energy efficiency in terms of GFLOPs/Watt. For application areas with highest demands, for …

Current state-of-the-art in GPU networking advocates a host-centric model that reduces
performance and increases code complexity. Recently, researchers have explored several …

In recent years, GPUs have become the leading accelerator in modern high-performance
systems such that much of HPC computational capability has concentrated in clusters of …

GPUs are widely used in high performance computing, due to their high computational
power and high performance per Watt. Still, one of the main bottlenecks of GPU-accelerated …

(57) ABSTRACT A method and system for processing data are disclosed. A processor, in
response to executing a software program, may write an entry in a work queue. The entry …