Invitation to a Standard Programming Interface for Massively Parallel Computing Environment: OpenCL

OpenCL Sparse Linear Solver for Circuit Simulation

Sparse linear systems are found in a variety of scientific and engineering problems. In VLSI CAD tools, DC circuit analysis creates large, sparse systems represented by matrices and vectors. The algorithms designed to solve these systems are known to be quite time consuming and many previous attempts have been made to parallelize them. Graphics cards have evolved from specialized devices into m...

OpenCL: A pArALLeL prOgrAmming StAndArd

T he strong need for increased computational performance in science and engineering has led to the use of heterogeneous computing, with GPUs and other accelerators acting as coprocessors for arithmetic intensive data-parallel workloads.1–4 OpenCL is a new industry standard for task-parallel and data-parallel heterogeneous computing on a variety of modern CPUs, GPUs, DSPs, and other microprocess...

High-Level Manipulation of OpenCL-Based Subvectors and Submatrices

High-level C++ proxies for the convenient manipulation of subvectors and submatrices on OpenCL-enabled devices are introduced. It is demonstrated that the programming convenience of standard host-based code can be retained using native C++ language features only, even if massively parallel computing architectures such as graphics processing units are employed. The required modifications of the ...

Using OpenCL - Programming Massively Parallel Computers

Scalability and Parallel Execution of OmpSs-OpenCL Tasks on Heterogeneous CPU-GPU Environment

With heterogeneous computing becoming mainstream, researchers and software vendors have been trying to exploit the best of the underlying architectures like GPUs or CPUs to enhance performance. Parallel programming models play a crucial role in achieving this enhancement. One such model is OpenCL, a parallel computing API for cross platform computations targeting heterogeneous architectures. Ho...