Evaluation of HPC-Big Data Applications Using Cloud Platforms. - Shweta Salaria; Kevin A. Brown; Hideyuki Jitsumoto; Satoshi Matsuoka (CCGrid, 2017)

Predicting Performance Using Collaborative Filtering. - Shweta Salaria; Aleksandr Drozd; Artur Podobas; Satoshi Matsuoka (CLUSTER, 2018)

Learning Neural Representations for Predicting GPU Performance. - Shweta Salaria; Aleksandr Drozd; Artur Podobas; Satoshi Matsuoka (ISC, 2019)

Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws? - Jens Domke; Emil Vatai; Aleksandr Drozd; Peng Chen 035; Yosuke Oyama; Lingqi Zhang 001; Shweta Salaria; Daichi Mukunoki; Artur Podobas; Mohamed Wahib; Satoshi Matsuoka (IPDPS, 2021)

Granite Code Models: A Family of Open Foundation Models for Code Intelligence. - Mayank Mishra; Matt Stallone; Gaoyuan Zhang; Yikang Shen; Aditya Prasad; Adriana Meza Soria; Michele Merler; Parameswaran Selvam; Saptha Surendran; Shivdeep Singh; Manish Sethi; Xuan-Hong Dang; et al. (CoRR, 2024)

The infrastructure powering IBM's Gen AI model development. - Talia Gershon; Seetharami Seelam; Brian Belgodere; Milton Bonilla; Lan Hoang; Danny Barnett; I-Hsin Chung; Apoorve Mohan; Ming-Hung Chen; Lixiang Luo; Robert Walkup; Constantinos Evangelinos; et al. (CoRR, 2024)

Vela: A Virtualized LLM Training System with GPU Direct RoCE. - Apoorve Mohan; Robert Walkup; Bengi Karacali; Ming-Hung Chen; Abdullah Kayi; Liran Schour; Shweta Salaria; Sophia Wen; I-Hsin Chung; Abdul Alim; Constantinos Evangelinos; Lixiang Luo; et al. (ASPLOS (2), 2025)

Meta-Metrics and Best Practices for System-Level Inference Performance Benchmarking. - Shweta Salaria; Zhuoran Liu; Nelson Mimura Gonzalez (CoRR, 2025)