Sarunya Pumma

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 10

Top Topics

Data Partitioning

Weakly Supervised

Top Venues

Future Gener. Comput. Syst.

ACM Trans. Parallel Comput.

Publications

Mark Zhao, Dhruv Choudhary, Devashish Tyagi, Ajay Somani, Max Kaplan, Sung-Han Lin, Sarunya Pumma, Jongsoo Park, Aarti Basant, Niket Agarwal, Carole-Jean Wu, Christos Kozyrakis
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure. MLSys (2023)
Mark Zhao, Dhruv Choudhary, Devashish Tyagi, Ajay Somani, Max Kaplan, Sung-Han Lin, Sarunya Pumma, Jongsoo Park, Aarti Basant, Niket Agarwal, Carole-Jean Wu, Christos Kozyrakis
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure. CoRR (2022)
Sarunya Pumma, Abhinav Vishnu
Semantic-Aware Lossless Data Compression for Deep Learning Recommendation Model (DLRM). MLHPC@SC (2021)
Sarunya Pumma, Daniele Buono, Fabio Checconi, Xinyu Que, Wu-chun Feng
Alleviating Load Imbalance in Data Processing for Large-Scale Deep Learning. CCGRID (2020)
W. Feng, Da Zhang, J. Zhang, Kaixi Hou, Sarunya Pumma, H. Wang
A Feasibility Study for MPI over HDFS. HPEC (2020)
Sarunya Pumma, Min Si, Wu-Chun Feng, Pavan Balaji
Scalable Deep Learning via I/O Analysis and Optimization. ACM Trans. Parallel Comput. 6 (2) (2019)
Sarunya Pumma, Min Si, Wu-chun Feng, Pavan Balaji
Parallel I/O Optimizations for Scalable Deep Learning. ICPADS (2017)
Sarunya Pumma, Min Si, Wu-chun Feng, Pavan Balaji
Towards Scalable Deep Learning via I/O Analysis and Optimization. HPCC/SmartCity/DSS (2017)
Sarunya Pumma, Wu-chun Feng, Phond Phunchongharn, Sylvain Chapeland, Tiranee Achalakul
A runtime estimation framework for ALICE. Future Gener. Comput. Syst. 72 (2017)
Hao Wang, Jing Zhang, Da Zhang, Sarunya Pumma, Wu-chun Feng
PaPar: A Parallel Data Partitioning Framework for Big Data Applications. IPDPS (2017)
Sarunya Pumma, Tiranee Achalakul, Xiaorong Li
Automatic VM Allocation for Scientific Application. ICPADS (2012)