Extreme scale computing: Modeling the impact of system noise in multicore clustered systems. - Seetharami Seelam; Liana L. Fong; Asser N. Tantawi; John Lewars; John Divirgilio; Kevin J. Gildea (IPDPS, 2010)

Scalability analysis of enterprise javaworkloads on a multi-core system. - Xavier Guerin; Yanbin Liu; Parijat Dube; Seetharami Seelam; Pierre-Andre Paumelle (IISWC, 2011)

New Metrics for Scheduling Jobs on Cluster of Virtual Machines. - Yanbin Liu; Norman Bobroff; Liana Fong; Seetharami Seelam; Javier Delgado (IPDPS Workshops, 2011)

Characterization of System Services and Their Performance Impact in Multi-core Nodes. - Seetharami Seelam; Liana Fong; John Lewars; John Divirgilio; Brian F. Veale; Kevin J. Gildea (IPDPS, 2011)

A Tool for Scalable Profiling and Tracing of Java and Native Code Interactions. - Parijat Dube; Seetharami Seelam; Yanbin Liu; Megumi Ito; Thomas Ling; Michel Hack; Liana Fong; Graeme Johnson; Michael Dawson 001; Li Zhang 002; Yuqing Gao (QEST, 2011)

Efficiency Assessment of Parallel Workloads on Virtualized Resources. - Javier Delgado; Seyed Masoud Sadjadi; Liana Fong; Yanbin Liu; Norman Bobroff; Seetharami Seelam (UCC, 2011)

Partitioned Parallel Job Scheduling for Extreme Scale Computing. - David Brelsford; George Chochia; Nathan Falk; Kailash Marthi; Ravindra Sure; Norman Bobroff; Liana Fong; Seetharami Seelam (JSSPP, 2012)

Evaluation of Multi-core Scalability Bottlenecks in Enterprise Java Workloads. - Xavier Guerin; Wei Tan 001; Yanbin Liu; Seetharami Seelam; Parijat Dube (MASCOTS, 2012)

vPFS: Bandwidth virtualization of parallel storage systems. - Yiqi Xu; Dulcardo Arteaga; Ming Zhao 002; Yonggang Liu; Renato J. O. Figueiredo; Seetharami Seelam (MSST, 2012)

Experiences in building and scaling an enterprise application on multicore systems. - Seetharami Seelam; Yanbin Liu; Parijat Dube; Megumi Ito; Deniz Binay; Michael Dawson 001; Pramod Nagaraja; Graeme Johnson; Liana Fong; Michel Hack; Xiaoqiao Meng; Yuqing Gao; et al. (Concurr. Comput. Pract. Exp., 2012)

Toward a scale-out data-management middleware for low-latency enterprise computing. - Liana L. Fong; Yuqing Gao; Xavier Guerin; Yonggang Liu; T. Salo; Seetharami Seelam; Wei Tan 001; Sandeep Tata (IBM J. Res. Dev., 2013)

Extreme scale computing: Modeling the impact of system noise in multi-core clustered systems. - Seetharami Seelam; Liana Fong; Asser N. Tantawi; John Lewars; John Divirgilio; Kevin J. Gildea (J. Parallel Distributed Comput., 2013)

Introduction to special issue on embedded systems architecture and applications. - Jia Hu 001; Jens Palsberg; Seetharami Seelam; Marco Di Natale; Lei (Chris) Liu (J. Syst. Archit., 2014)

Introduction to special issue on High Performance Computing Architectures and Systems. - Jia Hu 001; Seetharami Seelam; Laurent Lefèvre (J. Comput. Syst. Sci., 2015)

Taming Performance Degradation of Containers in the Case of Extreme Memory Overcommitment. - Rina Nakazawa; Kazunori Ogata; Seetharami Seelam; Tamiya Onodera (CLOUD, 2017)

Hoard: A Distributed Data Caching System to Accelerate Deep Learning Training on the Cloud. - Christian Pinto; Yiannis Gkoufas; Andrea Reale; Seetharami Seelam; Steven Eliuk (CoRR, 2018)

ConfAdvisor: A Performance-centric Configuration Tuning Framework for Containers on Kubernetes. - Tatsuhiro Chiba; Rina Nakazawa; Hiroshi Horii; Sahil Suneja; Seetharami Seelam (IC2E, 2019)

Chic-sched: a HPC Placement-Group Scheduler on Hierarchical Topologies with Constraints. - Laurent Schares; Asser N. Tantawi; Pavlos Maniotis; Ming-Hung Chen; Claudia Misale; Seetharami Seelam; Hao Yu 008 (IPDPS, 2023)

Objcache: An Elastic Filesystem over External Persistent Storage for Container Clusters. - Takeshi Yoshimura; Tatsuhiro Chiba; Sunyanan Choochotkaew; Seetharami Seelam; Hui-Fang Wen; Jonas Pfefferle (CoRR, 2023)

2024 IEEE International Conference on Cloud Computing, Message from the Chairs. - Tevfik Kosar; Krishnan Venkateswaran; Shangguang Wang; Seetharami Seelam; Santonu Sarkar; Xuanzhe Liu (CLOUD, 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)

Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage. - Ziqi Yuan; Haoyang Zhang; Yirui Eric Zhou; Apoorve Mohan; I-Hsin Chung; Seetharami Seelam; Jian Huang (CoRR, 2025)