Exploratory Study of Scientific Visualization Techniques for Program Visualization. - Brian J. d'Auriol; Claudia V. Casas; Pramod K. Chikkappaiah; L. Susan Draper; Ammar J. Esper; Jorge López; Rajesh Molakaseema; Seetharami R. Seelam; René Sáenz; Qian Wen; Zhengjing Yang (International Conference on Computational Science (2), 2001)

Statistical and Dempster-Shafer Techniques in Testing Structural Integrity of Aerospace Structures. - Roberto A. Osegueda; Seetharami R. Seelam; Ana C. Holguin; Vladik Kreinovich; Chin-Wang Tao; Hung T. Nguyen 002 (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001)

Profiling and Tracing OpenMP Applications with POMP Based Monitoring Libraries. - Luiz De Rose; Bernd Mohr; Seetharami R. Seelam (Euro-Par, 2004)

Fairness and Performance Isolation: an Analysis of Disk Scheduling Algorithms. - Seetharami R. Seelam; Patricia J. Teller (CLUSTER, 2006)

Rate-Controlled Scheduling of Expired Writes for Volatile Caches. - Seetharami R. Seelam; Jayaraman Suresh Babu; Patricia J. Teller (QEST, 2006)

Insights into providing dynamic adaptation of operating system policies. - Patricia J. Teller; Seetharami R. Seelam (ACM SIGOPS Oper. Syst. Rev., 2006)

Throttling I/O Streams to Accelerate File-IO Performance. - Seetharami R. Seelam; Andre Kerstens; Patricia J. Teller (HPCC, 2007)

Modeling the Impact of Checkpoints on Next-Generation Systems. - Ron A. Oldfield; Sarala Arunagiri; Patricia J. Teller; Seetharami R. Seelam; Maria Ruiz Varela; Rolf Riesen; Philip C. Roth (MSST, 2007)

A Productivity Centered Tools Framework for Application Performance Tuning. - Hui-Fang Wen; Simone Sbaraglia; Seetharami R. Seelam; I-Hsin Chung; Guojing Cong; David J. Klepacki (QEST, 2007)

A productivity centered application performance tuning framework. - Simone Sbaraglia; Hui-Fang Wen; Seetharami R. Seelam; I-Hsin Chung; Guojing Cong; Kattamuri Ekanadham; David J. Klepacki (VALUETOOLS, 2007)

Virtual I/O scheduler: a scheduler of schedulers for performance virtualization. - Seetharami R. Seelam; Patricia J. Teller (VEE, 2007)

A framework for automated performance bottleneck detection. - I-Hsin Chung; Guojing Cong; David J. Klepacki; Simone Sbaraglia; Seetharami R. Seelam; Hui-Fang Wen (IPDPS, 2008)

Early experiences in application level I/O tracing on blue gene systems. - Seetharami R. Seelam; I-Hsin Chung; Ding-Yong Hong; Hui-Fang Wen; Hao Yu 008 (IPDPS, 2008)

Tools for scalable performance analysis on Petascale systems. - I-Hsin Chung; Seetharami R. Seelam; Bernd Mohr; Jesús Labarta (IPDPS, 2009)

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

Application level I/O caching on Blue Gene/P systems. - Seetharami R. Seelam; I-Hsin Chung; John Bauer; Hao Yu 008; Hui-Fang Wen (IPDPS, 2009)

Scalability Analysis of Job Scheduling Using Virtual Nodes. - Norman Bobroff; Richard Coppinger; Liana Fong; Seetharami R. Seelam; Jing Xu 012 (JSSPP, 2009)

Masking I/O latency using application level I/O caching and prefetching on Blue Gene systems. - Seetharami R. Seelam; I-Hsin Chung; John Bauer; Hui-Fang Wen (IPDPS, 2010)

Workload performance characterization of DARPA HPCS benchmarks. - Seetharami R. Seelam; I-Hsin Chung; Guojing Cong; Hui-Fang Wen; David J. Klepacki (Concurr. Comput. Pract. Exp., 2010)

FAIRIO: An Algorithm for Differentiated I/O Performance. - Sarala Arunagiri; Yipkei Kwok; Patricia J. Teller; Ricardo Portillo; Seetharami R. Seelam (SBAC-PAD, 2011)

Blueprint for Business Middleware as a Managed Cloud Service. - Paolo Dettori; David Frank; Seetharami R. Seelam; Pierre Feillet (IC2E, 2014)

Introduction to special issue on high performance computing. - Jia Hu 001; Seetharami R. Seelam; Laurent Lefèvre (Computing, 2014)

FAIRIO: A Throughput-oriented Algorithm for Differentiated I/O Performance. - Sarala Arunagiri; Yipkei Kwok; Patricia J. Teller; Ricardo Portillo; Seetharami R. Seelam (Int. J. Parallel Program., 2014)

Polyglot Application Auto Scaling Service for Platform as a Service Cloud. - Seetharami R. Seelam; Paolo Dettori; Peter H. Westerink; Ben Bo Yang (IC2E, 2015)

Resource Management for Running HPC Applications in Container Clouds. - Stephen Herbein; Ayush Dusia; Aaron Myles Landwehr; Sean McDaniel; José Monsalve Diaz; Yang Yang; Seetharami R. Seelam; Michela Taufer (ISC, 2016)

Building the IBM Containers cloud service. - William C. Arnold; Salman Abdul Baset; Paolo Dettori; Michael H. Kalantar; Iqbal Mohomed; S. J. Nadgowda; M. Sabath; Seetharami R. Seelam; Malgorzata Steinder; Mike Spreitzer; A. S. Youssef (IBM J. Res. Dev., 2016)

Topology-aware GPU scheduling for learning workloads in cloud environments. - Marcelo Amaral; Jordà Polo; David Carrera 001; Seetharami R. Seelam; Malgorzata Steinder (SC, 2017)

IBM Deep Learning Service. - Bishwaranjan Bhattacharjee; Scott Boag; Chandani Doshi; Parijat Dube; Ben Herta; Vatche Ishakian; K. R. Jayaram; Rania Khalaf; Avesh Krishna; Yu Bo Li; Vinod Muthusamy; Ruchir Puri; et al. (CoRR, 2017)

IBM Deep Learning Service. - Bishwaranjan Bhattacharjee; Scott Boag; Chandani Doshi; Parijat Dube; Ben Herta; Vatche Ishakian; K. R. Jayaram; Rania Khalaf; Avesh Krishna; Yu Bo Li; Vinod Muthusamy; Ruchir Puri; et al. (IBM J. Res. Dev., 2017)

NVMe Virtualization for Cloud Virtual Machines. - Lixiang Luo; I-Hsin Chung; Seetharami R. Seelam; Ming-Hung Chen; Yun Joon Soh (ICPE, 2022)

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)

Transforming the Hybrid Cloud for Emerging AI Workloads. - Deming Chen; Alaa Youssef; Ruchi Pendse; André Schleife; Bryan K. Clark; Hendrik F. Hamann; Jingrui He; Teodoro Laino; Lav R. Varshney; Yuxiong Wang; Avirup Sil; Reyhaneh Jabbarvand; et al. (CoRR, 2024)

HPC and Cloud Convergence Beyond Technical Boundaries: Strategies for Economic Sustainability, Standardization, and Data Accessibility. - Michela Taufer; Daniel Milroy; Todd Gamblin; Andrew Jones; Bill Magro; Heidi Poxon; Seetharami R. Seelam (Computer, 2024)