We present an intelligent scheduling framework which takes as input a set of OpenCL kernels and distributes the workload across multiple CPUs and GPUs in a ...
Abstract: We present an intelligent scheduling framework which takes as input a set of OpenCL kernels and distributes the workload across multiple CPUs and ...
We present an intelligent scheduling framework which takes as input a set of OpenCL kernels and distributes the workload across multiple CPUs and GPUs in a ...
In this paper, we present the design and implementation of an Open Computing Language (OpenCL) framework that targets heterogeneous accelerator multicore ...
While multi-task scheduling for CPUs is a well-studied area, how to partitioning and map computing tasks onto the heterogeneous system in the presence of GPU ...
Mar 7, 2022 · In this paper, we propose an efficient OpenCL task scheduling framework which schedules multiple kernels from multiple programs on CPUs-GPUs heterogeneous ...
This paper implements a MDS algorithm based on heterogeneous multiprocessor based on OpenCL framework on W580-G20 GPU server. Compared with the traditional ...
In this paper, we present an efficient OpenCL task scheduling scheme which schedules multiple kernels from multiple programs on CPU/GPU heterogeneous platforms.
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What is task scheduling for heterogeneous computing systems?
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The framework features computational graphs that store meta-data and execution dependencies of kernels. We then provide scheduling framework for OpenCL programs ...
May 18, 2020 · In this paper, we propose a heterogeneity-aware. OpenCL-like (HaoCL) programming framework to facilitate the programming of a wide range of ...