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Priya Nagpurkar
Person information
- affiliation: IBM Research, USA
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2010 – 2019
- 2018
- [c16]Sanghamitra Dutta, Gauri Joshi, Soumyadip Ghosh, Parijat Dube, Priya Nagpurkar:
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD. AISTATS 2018: 803-812 - [i1]Sanghamitra Dutta, Gauri Joshi, Soumyadip Ghosh, Parijat Dube, Priya Nagpurkar:
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD. CoRR abs/1803.01113 (2018) - 2017
- [c15]Jürgen Cito, Fábio Oliveira, Philipp Leitner, Priya Nagpurkar, Harald C. Gall
:
Context-Based Analytics - Establishing Explicit Links between Runtime Traces and Source Code. ICSE-SEIP 2017: 193-202 - [c14]Fábio Oliveira, Sahil Suneja, Shripad Nadgowda, Priya Nagpurkar, Canturk Isci:
Opvis: extensible, cross-platform operational visibility and analytics for cloud. Middleware Industry 2017: 43-49 - 2016
- [j3]Fábio Oliveira, Tamar Eilam, Priya Nagpurkar, Canturk Isci, Michael H. Kalantar, W. Segmuller, Ed C. Snible:
Delivering software with agility and quality in a cloud environment. IBM J. Res. Dev. 60(2-3) (2016) - 2014
- [e1]Manoj Kumar, Joefon Jann, Priya Nagpurkar:
Proceedings of the first workshop on Parallel programming for analytics applications, PPAA 2014, Orlando, Florida, USA, February 16, 2014. ACM 2014, ISBN 978-1-4503-2654-4 [contents] - 2012
- [c13]Valentina Salapura, Tejas Karkhanis, Priya Nagpurkar, José E. Moreira:
Accelerating business analytics applications. HPCA 2012: 413-422 - [c12]José G. Castaños, David Edelsohn, Kazuaki Ishizaki, Priya Nagpurkar, Toshio Nakatani, Takeshi Ogasawara
, Peng Wu:
On the benefits and pitfalls of extending a statically typed language JIT compiler for dynamic scripting languages. OOPSLA 2012: 195-212 - [c11]Kazuaki Ishizaki, Takeshi Ogasawara
, José G. Castaños, Priya Nagpurkar, David Edelsohn, Toshio Nakatani:
Adding dynamically-typed language support to a statically-typed language compiler: performance evaluation, analysis, and tradeoffs. VEE 2012: 169-180 - 2010
- [c10]Harold W. Cain, Priya Nagpurkar:
Runahead execution vs. conventional data prefetching in the IBM POWER6 microprocessor. ISPASS 2010: 203-212
2000 – 2009
- 2009
- [c9]Moriyoshi Ohara, Priya Nagpurkar, Yohei Ueda, Kazuaki Ishizaki:
The data-centricity of Web 2.0 workloads and its impact on server performance. ISPASS 2009: 133-142 - 2008
- [c8]Priya Nagpurkar, William Horn, U. Gopalakrishnan, Niteesh Dubey, Joefon Jann, Pratap Pattnaik:
Workload characterization of selected JEE-based Web 2.0 applications. IISWC 2008: 109-118 - 2007
- [c7]Lingli Zhang, Chandra Krintz, Priya Nagpurkar:
Language and Virtual Machine Support for Efficient Fine-Grained Futures in Java. PACT 2007: 130-139 - [c6]Priya Nagpurkar, Harold W. Cain, Mauricio J. Serrano, Jong-Deok Choi, Chandra Krintz:
Call-chain Software Instruction Prefetching in J2EE Server Applications. PACT 2007: 140-149 - [c5]Lingli Zhang, Chandra Krintz, Priya Nagpurkar:
Supporting exception handling for futures in Java. PPPJ 2007: 175-184 - 2006
- [j2]Priya Nagpurkar, Chandra Krintz:
Phase-based visualization and analysis of Java programs. Sci. Comput. Program. 59(1-2): 64-81 (2006) - [j1]Priya Nagpurkar, Hussam Mousa, Chandra Krintz, Timothy Sherwood
:
Efficient remote profiling for resource-constrained devices. ACM Trans. Archit. Code Optim. 3(1): 35-66 (2006) - [c4]Priya Nagpurkar, Chandra Krintz, Michael Hind, Peter F. Sweeney, V. T. Rajan:
Online Phase Detection Algorithms. CGO 2006: 111-123 - [c3]Selim Gurun, Priya Nagpurkar, Ben Y. Zhao:
Energy consumption and conservation in mobile peer-to-peer systems. MobiShare@MobiCom 2006: 18-23 - 2005
- [c2]Priya Nagpurkar, Chandra Krintz, Timothy Sherwood
:
Phase-Aware Remote Profiling. CGO 2005: 191-202 - 2004
- [c1]Priya Nagpurkar, Chandra Krintz:
Visualization and analysis of phased behavior in Java programs. PPPJ 2004: 27-33
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