Towards a framework for automated performance tuning. - Guojing Cong; Seetharami R. Seelam; I-Hsin Chung; Sophia Wen; David J. Klepacki (IPDPS, 2009)

Parallelism-centric optimization and performance study of a finance aggregation engine on modern NUMA systems. - Guojing Cong; Sophia Wen; James Sedgwick; Louis Ly (WHPCF@SC, 2015)

Preface. - Min Jou; Sophia Wen (Comput. Hum. Behav., 2016)

Best Practices for HPC Workloads on Public Cloud Platforms: A Guide for Computational Scientists to Use Public Cloud for HPC Workloads. - Robert Walkup; Seetharami R. Seelam; Sophia Wen (ICPE, 2022)

Enabling Scalability in the Cloud for Scientific Workflows: An Earth Science Use Case. - Paula Olaya; Jakob Lüttgau; Camila Roa; Ricardo M. Llamas; Rodrigo Vargas; Sophia Wen; I-Hsin Chung; Seetharami R. Seelam; Yoonho Park; Jay F. Lofstead; Michela Taufer (CLOUD, 2023)

PerSSD: Persistent, Shared, and Scalable Data with Node-Local Storage for Scientific Workflows in Cloud Infrastructure. - Paula Olaya; Sophia Wen; Jay F. Lofstead; Michela Taufer (IEEE Big Data, 2024)

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)