Slow and stale gradients can win the race: Error-runtime trade-offs in distributed SGD S Dutta, G Joshi, S Ghosh, P Dube, P Nagpurkar International conference on artificial intelligence and statistics, 803-812, 2018 | 167 | 2018 |
Transactional memory system supporting unbroken suspended execution HW Cain III, BG Frey, B Herrenschmidt, HQ Le, C May, MM Michael, ... US Patent 9,626,187, 2017 | 125 | 2017 |
Online phase detection algorithms P Nagpurkar, P Hind, C Krintz, PF Sweeney, VT Rajan International Symposium on Code Generation and Optimization (CGO'06), 13 pp.-123, 2006 | 103 | 2006 |
Energy consumption and conservation in mobile peer-to-peer systems S Gurun, P Nagpurkar, BY Zhao Proceedings of the 1st international workshop on Decentralized resource …, 2006 | 74 | 2006 |
On the benefits and pitfalls of extending a statically typed language JIT compiler for dynamic scripting languages J Castanos, D Edelsohn, K Ishizaki, P Nagpurkar, T Nakatani, ... ACM SIGPLAN Notices 47 (10), 195-212, 2012 | 44 | 2012 |
Phase-aware remote profiling P Nagpurkar, C Krintz, T Sherwood International Symposium on Code Generation and Optimization, 191-202, 2005 | 40 | 2005 |
Workload characterization of selected jee-based web 2.0 applications P Nagpurkar, W Horn, U Gopalakrishnan, N Dubey, J Jann, P Pattnaik 2008 IEEE International Symposium on Workload Characterization, 109-118, 2008 | 36 | 2008 |
Supporting exception handling for futures in java L Zhang, C Krintz, P Nagpurkar Proceedings of the 5th international symposium on Principles and practice of …, 2007 | 34 | 2007 |
Efficient remote profiling for resource-constrained devices P Nagpurkar, H Mousa, C Krintz, T Sherwood ACM Transactions on Architecture and Code Optimization (TACO) 3 (1), 35-66, 2006 | 33 | 2006 |
{App–Bisect}: Autonomous Healing for {Microservice-Based} Apps S Rajagopalan, H Jamjoom 7th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 15), 2015 | 30 | 2015 |
Accelerating business analytics applications V Salapura, T Karkhanis, P Nagpurkar, J Moreira IEEE International Symposium on High-Performance Comp Architecture, 1-10, 2012 | 30 | 2012 |
Adding dynamically-typed language support to a statically-typed language compiler: performance evaluation, analysis, and tradeoffs K Ishizaki, T Ogasawara, J Castanos, P Nagpurkar, D Edelsohn, ... Proceedings of the 8th ACM SIGPLAN/SIGOPS conference on Virtual Execution …, 2012 | 27 | 2012 |
Runahead execution vs. conventional data prefetching in the IBM POWER6 microprocessor HW Cain, P Nagpurkar 2010 IEEE International Symposium on Performance Analysis of Systems …, 2010 | 25 | 2010 |
Language and virtual machine support for efficient fine-grained futures in java L Zhang, C Krintz, P Nagpurkar 16th International Conference on Parallel Architecture and Compilation …, 2007 | 25 | 2007 |
The data-centricity of web 2.0 workloads and its impact on server performance M Ohara, P Nagpurkar, Y Ueda, K Ishizaki 2009 IEEE International Symposium on Performance Analysis of Systems and …, 2009 | 24 | 2009 |
Delivering software with agility and quality in a cloud environment F Oliveira, T Eilam, P Nagpurkar, C Isci, M Kalantar, W Segmuller, ... IBM Journal of Research and Development 60 (2-3), 10: 1-10: 11, 2016 | 22 | 2016 |
Visualization and analysis of phased behavior in Java programs P Nagpurkar, C Krintz PPPJ, 27-33, 2004 | 22 | 2004 |
Auto tuner for cloud micro services embeddings S Parthasarathy, S Ravichandran, FA Oliveira, T Eilam, PAA Nagpurkar US Patent 10,673,708, 2020 | 18 | 2020 |
Context-based analytics-establishing explicit links between runtime traces and source code J Cito, F Oliveira, P Leitner, P Nagpurkar, HC Gall 2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017 | 17 | 2017 |
Scalable multi-framework multi-tenant lifecycle management of deep learning training jobs S Boag, P Dube, B Herta, W Hummer, V Ishakian, K Jayaram, M Kalantar, ... Workshop on ML Systems, NIPS, 2017 | 16 | 2017 |