Priya Nagpurkar leads the Hybrid Cloud Platform and Developer Productivity mission at IBM's T.J. Watson Research Center. She leads a global team of distributed systems, programming models, and AI experts working on all interesting aspects of the cloud platform -- from serverless computing and cloud-native AI to AI for code and multicloud DevSecOps. Priya is passionate about making computing consumable.
Her previous work at IBM focused on characterizing and optimizing emerging workloads across different layers of the application and system stack, with an emphasis on language runtimes and processor architecture and design. Priya received her Ph.D. in Computer Science from the University of California, Santa Barbara in September 2007
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- Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD. Sanghamitra Dutta, Gauri Joshi, Soumyadip Ghosh, Parijat Dube, Priya Nagpurkar. AISTATS 2018.
- Scalable Multi-Framework Multi-Tenant Lifecycle Management of Deep Learning Training Jobs. Scott Boag, Parijat Dube, Benjamin Herta, Waldemar Hummer, Vatche Ishakian, Jayaram K. R., Michael Kalantar, Vinod Muthusamy, Priya Nagpurkar, Florian Rosenberg. Workshop on ML Systems at NIPS'17, 2017.
- Opvis: extensible, cross-platform operational visibility and analytics for cloud.Fábio Oliveira, Sahil Suneja, Shripad Nadgowda, Priya Nagpurkar, Canturk Isci. Middleware 2017.
- Context-Based Analytics - Establishing Explicit Links between Runtime Traces and Source Code. Jürgen Cito, Fábio Oliveira, Philipp Leitner, Priya Nagpurkar and Harald Gall. International Conference on Software Engineering (ICSE), 2017.
- Opportunities and Challenges in adopting Microservices Architecture for Enterprise Workloads Shriram Rajagopalan, Hani Jamjoom, Tamar Eilam and Priya Nagpurkar Usenix ATC Industry Talks Session, 2016
- Delivering Software with Agility and Quality in a Cloud Environment F. Oliveira, T. Eilam, P. Nagpurkar, C. Isci, M. Kalantar, E. Snible, W. Segmuller IBM Journal of Research and Development, Volume 60:Issue 2-3, March 2016
- On the benefits and pitfalls of extending a statically typed language JIT compiler for dynamic scripting languages Jose G Castanos, David Edelsohn, Kazuaki Ishizaki, Priya Nagpurkar, Toshio Nakatani, Takeshi Ogasawara, Peng Wu OOPSLA 2012
- Adding dynamically-typed language support to a statically-typed language compiler: performance evaluation, analysis, and tradeoffs
Kazuaki Ishizaki, Takeshi Ogasawara, José G. Castanos, Priya Nagpurkar, David Edelsohn, Toshio Nakatani Virtual Execution Environments (VEE), March 2012.
- Accelerating Business Analytics Applications
Valentina Salapura, Tejas Karkhanis, Priya Nagpurkar, Jose Moreira IEEE International Symposium on High Performance Computer Architecture (HPCA), February 2012.
- Dualities in Programming Languages (pdf, talk, abstract),
Martin Hirzel and Priya Nagpurkar. Fun and Interesting Thoughts Session at PLDI (PLDI-FIT), June 2010.
- Runahead Execution vs. Conventional Data Prefetching in the IBM POWER6 Microprocessor
Harold W. Cain and Priya Nagpurkar, IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), March 2010.
- The Data-centricity of Web 2.0 Workloads and its Impact on Server Performance
Moriyoshi Ohara, Priya Nagpurkar, Yohei Ueda, and Kazuaki Ishizaki, IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), April 2009.
- Workload Characterization of selected JEE-based Web 2.0 Applications
Priya Nagpurkar, William Horn, U Gopalakrishnan, Niteesh Dubey, Joefon Jann, and Pratap Pattnaik, IEEE International Symposium on Workload Characterization (IISWC), September, 2008.
- Call-chain Software Instruction Prefetching in J2EE Server Applications
Priya Nagpurkar, Harold Cain, Mauricio Serrano, Jong-Deok Choi, and Chandra Krintz, The International Conference on Parallel Architectures and Compilation Techniques (PACT), September, 2007
- Language and Virtual Machine Support for Efficient Fine-Grained Futures in Java
Lingli Zhang, Chandra Krintz, and Priya Nagpurkar, The International Conference on Parallel Architectures and Compilation Techniques (PACT), September, 2007
- Supporting Exception Handling for Futures in Java
Lingli Zhang, Chandra Krintz, and Priya Nagpurkar, The International Conference on the Principles and Practice on Programming in Java (PPPJ), September, 2007
- A Study of Instruction Cache Performance and the Potential for Instruction Prefetching in J2EE Server Applications
Priya Nagpurkar, Harold W. Cain, Mauricio Serrano, Jong-Deok Choi and Chandra Krintz, Tenth Workshop on Computer Architecture Evaluation Using Commercial Workloads (CAECW-10), Feb 2007
- Online Phase Detection Algorithms
Priya Nagpurkar, Michael Hind, Chandra Krintz, Peter Sweeney, and V.T. Rajan, 2006 International Symposium on Code Generation and Optimization (CGO06), March 26-29, Manhattan, NY
- Phase-aware Remote Profiling
Priya Nagpurkar, Chandra Krintz, and Tim Sherwood, International Symposium on Code Generation and Optimization (CGO05), March 20-23, San Jose, CA
- Efficient Remote Profiling for Resource-Constrained Devices
Priya Nagpurkar, Hussam Mousa, Chandra Krintz, and Timothy Sherwood, ACM Transactions on Architecture and Code Optimization (TACO),
- Visualization and Analysis of Phased Behavior in Java Programs
Priya Nagpurkar and Chandra Krintz, ACM International Conference on the Principles and Practice of Programming in Java (PPPJ), June 16-18, Las Vegas, NV
- Phase-Based Visualization and Analysis of Java Programs
Priya Nagpurkar and Chandra Krintz, Elsevier Science of Computer Programming -- Special Issue on Priciples Practices and Programming in Java, Vol. 59, Number 1-2, January 2006, pages 64-81
- Energy Consumption and Conservation in Mobile Peer-to-Peer Systems
Selim Gurun, Priya Nagpurkar, and Ben Zhao, International Workshop on Decentralized Resource Sharing in Mobile Computing and Networking (ACM Mobishare), Sep 2006
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