Ali Murat Gok

According to our database, Ali Murat Gok authored at least 13 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors.

Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello

IEEE Trans. Big Data, April, 2023

2022

ROIBIN-SZ: Fast and Science-Preserving Compression for Serial Crystallography.

Robert Underwood, Chun Hong Yoon, Ali Murat Gok, Sheng Di, Franck Cappello

CoRR, 2022

Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets.

Zhaoyuan Su, Sheng Di, Ali Murat Gok, Yue Cheng, Franck Cappello

Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022

2021

Online data analysis and reduction: An important Co-design motif for extreme-scale computers.

Ian T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus Van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu, Igor Yakushin, Shinjae Yoo, Todd S. Munson

Int. J. High Perform. Comput. Appl., 2021

ST² GPU: An Energy-Efficient GPU Design with Spatio-Temporal Shared-Thread Speculative Adders.

Vijay Kandiah, Ali Murat Gök, Georgios Tziantzioulis, Nikos Hardavellas

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions.

Xiaodong Yu, Sheng Di, Ali Murat Gok, Dingwen Tao, Franck Cappello

Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020

Fulfilling the Promises of Lossy Compression for Scientific Applications.

Franck Cappello, Sheng Di, Ali Murat Gok

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

2019

Use cases of lossy compression for floating-point data in scientific data sets.

Franck Cappello, Sheng Di, Sihuan Li, Xin Liang, Ali Murat Gok, Dingwen Tao, Chun Hong Yoon, Xin-Chuan Wu, Yuri Alexeev, Frederic T. Chong

Int. J. High Perform. Comput. Appl., 2019

2018

PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry.

Ali Murat Gok, Sheng Di, Yuri Alexeev, Dingwen Tao, Vladimir A. Mironov, Xin Liang, Franck Cappello

Proceedings of the IEEE International Conference on Cluster Computing, 2018

2017

VaLHALLA: Variable Latency History Aware Local-carry Lazy Adder.

Ali Murat Gok, Nikos Hardavellas

Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017

2016

Lazy Pipelines: Enhancing quality in approximate computing.

Georgios Tziantzioulis, Ali Murat Gok, S. M. Faisal, Nikolaos Hardavellas, Seda Ogrenci Memik, Srinivasan Parthasarathy

Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

2015

b-HiVE: a bit-level history-based error model with value correlation for voltage-scaled integer and floating point units.

Georgios Tziantzioulis, Ali Murat Gok, S. M. Faisal, Nikolaos Hardavellas, Seda Ogrenci Memik, Srinivasan Parthasarathy

Proceedings of the 52nd Annual Design Automation Conference, 2015

Edge importance identification for energy efficient graph processing.

S. M. Faisal, Georgios Tziantzioulis, Ali Murat Gok, Nikolaos Hardavellas, Seda Ogrenci Memik, Srinivasan Parthasarathy

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015