OpenCL functions as a portability layer for diverse heterogeneous hardware platforms
including CPUs, GPUs, FPGAs, and hardware accelerators. However, OpenCL programs …

Accelerators, such as GPUs (Graphics Processing Unit) that is suitable for handling highly
parallel data, and FPGA (Field Programmable Gate Array) with algorithms customized …

Hardware specialization is a well-known means to significantly improve the performance
and energy efficiency of various application domains. Modern computing systems consist of …

The path to the efficient exploitation of molecular dynamics simulators is strongly driven by
the increasingly intensive use of accelerators. However, they suffer performance portability …

Offloading the most demanding parts of applications to an edge GPU server cluster to save
power or improve the result quality is a solution that becomes increasingly realistic with new …

In this work, we present CoopCL, an C++ API and runtime that abstracts and unifies the
cooperative workload execution on multi-core CPU and GPU. The CoopCL takes a OpenCL …

AUTODOCK is a molecular docking software widely used in computational drug design. Its
time-consuming executions have motivated the development of AUTODOCK-GPU, an …

This paper presents an OpenCL-like offload programming framework for NEC SX-Aurora
TSUBASA (SX-Aurora) and also discusses the benefit of employing metaprogramming to …

We propose a novel computing runtime that exposes remote compute devices via the cross-
vendor open heterogeneous computing standard OpenCL and can execute compute tasks …

In the past decade, high performance compute capabilities exhibited by heterogeneous
GPGPU platforms have led to the popularity of data parallel programming languages such …