Browsing Supercomputer Education and Research Centre (SERC) by Subject "Graphics Processing Unit (GPU)"
Now showing items 1-3 of 3
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Cooperative Execution of Opencl Programs on Multiple Heterogeneous Devices
(2018-05-01)Computing systems have become heterogeneous with the increasing prevalence of multi-core CPUs, Graphics Processing Units (GPU) and other accelerators in them. OpenCL has emerged as an attractive programming framework for ... -
Efficient Dynamic Automatic Memory Management And Concurrent Kernel Execution For General-Purpose Programs On Graphics Processing Units
(2017-04-28)Modern supercomputers now use accelerators to achieve their performance with the most widely used accelerator being the Graphics Processing Unit (GPU). However, achieving the performance potential of systems that combine ... -
A Runtime Framework for Regular and Irregular Message-Driven Parallel Applications on GPU Systems
(2018-02-28)The effective use of GPUs for accelerating applications depends on a number of factors including effective asynchronous use of heterogeneous resources, reducing data transfer between CPU and GPU, increasing occupancy of ...