2020 article

A Loop-aware Autotuner for High-Precision Floating-point Applications

2020 IEEE INTERNATIONAL SYMPOSIUM ON PERFORMANCE ANALYSIS OF SYSTEMS AND SOFTWARE (ISPASS), pp. 285–295.

By: R. Gu, P. Beata n & M. Becchi

author keywords: autotuner; mixed-precision; floating-point
Source: Web Of Science
Added: May 24, 2021

2020 article

GPU-FPtuner: Mixed-precision Auto-tuning for Floating-point Applications on GPU

2020 IEEE 27TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, AND ANALYTICS (HIPC 2020), pp. 294–304.

By: R. Gu & M. Becchi

author keywords: GPU; floating-point arithmetic; mixed-precision arithmetic; accuracy; performance; autotuning
Source: Web Of Science
Added: August 2, 2021

2019 article

A Comparative Study of Parallel Programming Frameworks for Distributed GPU Applications

CF '19 - PROCEEDINGS OF THE 16TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS, pp. 268–273.

By: R. Gu & M. Becchi

author keywords: Parallel computing; Distributed applications; Homogeneous cluster
Source: Web Of Science
Added: July 29, 2019

2017 conference paper

Understanding the performance-accuracy tradeoffs of floating-point arithmetic on GPUs

Proceedings of the 2017 ieee international symposium on workload characterization (iiswc), 207–218.

By: S. Surineni*, R. Gu, H. Nguyen* & M. Becchi

Source: NC State University Libraries
Added: August 6, 2018