Now showing items 1-4 of 4
GPU Power Prediction via Ensemble Machine Learning for DVFS Space Exploration
(Department of Computer Science, Virginia Polytechnic Institute & State University, 2018-02-02), TR-18-01
A software-based approach to achieve high performance within a power budget often involves dynamic voltage and frequency scaling (DVFS). Consequently, accurately predicting the power consumption of an application at different ...
A Composable Workflow for Productive FPGA Computing via Whole-Program Analysis and Transformation (with Code Excerpts)
(Department of Computer Science, Virginia Polytechnic Institute & State University, 2018-07-24), TR-18-05
We present a composable workflow to enable highly-productive heterogeneous computing on FPGAs. The workflow consists of a trio of static analysis and transformation tools: (1) a whole-program, source-to-source translator ...
CommAnalyzer: Automated Estimation of Communication Cost on HPC Clusters Using Sequential Code
(Department of Computer Science, Virginia Polytechnic Institute & State University, 2017-08-14), TR-17-04
MPI+X is the de facto standard for programming applications on HPC clusters. The performance and scalability on such systems is limited by the communication cost on different number of processes and compute nodes. Therefore, ...
ETH: A Framework for the Design-Space Exploration of Extreme-Scale Visualization
(Department of Computer Science, Virginia Polytechnic Institute & State University, 2017-09-29), TR-17-05
As high-performance computing (HPC) moves towards the exascale era, large-scale scientific simulations are generating enormous datasets. A variety of techniques (e.g., in-situ methods, data sampling, and compression) have ...