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Ilya Sharapov
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2020 – today
- 2024
- [i5]Kylee Santos, Stan G. Moore, Tomas Oppelstrup, Amirali Sharifian, Ilya Sharapov, Aidan P. Thompson, Delyan Z. Kalchev, Danny Perez, Robert Schreiber, Scott Pakin, Edgar A Leon, James H. Laros III, Michael James, Sivasankaran Rajamanickam:
Breaking the Molecular Dynamics Timescale Barrier Using a Wafer-Scale System. CoRR abs/2405.07898 (2024) - 2023
- [c12]Marcelo Orenes-Vera
, Ilya Sharapov
Wafer-Scale Fast Fourier Transforms. ICS 2023: 180-191 - 2022
- [i4]Mino Woo, Terry Jordan, Robert Schreiber, Ilya Sharapov, Shaheer Muhammad, Abhishek Koneru, Michael James, Dirk Van Essendelft:
Disruptive Changes in Field Equation Modeling: A Simple Interface for Wafer Scale Engines. CoRR abs/2209.13768 (2022) - [i3]Marcelo Orenes-Vera, Ilya Sharapov, Robert Schreiber, Mathias Jacquelin, Philippe Vandermersch, Sharan Chetlur:
Wafer-Scale Fast Fourier Transforms. CoRR abs/2209.15040 (2022) - 2021
- [c11]Patrick Groeneveld, Michael James, Vladimir Kibardin, Ilya Sharapov, Marvin Tom, Leo Wang:
ISPD 2021 Wafer-Scale Physics Modeling Contest: A New Frontier for Partitioning, Placement and Routing. ISPD 2021: 143-147 - 2020
- [c10]Kamil Rocki, Dirk Van Essendelft, Ilya Sharapov, Robert Schreiber, Michael Morrison, Vladimir Kibardin, Andrey Portnoy, Jean-Francois Dietiker, Madhava Syamlal
Fast stencil-code computation on a wafer-scale processor. SC 2020: 58 - [i2]Kamil Rocki, Dirk Van Essendelft, Ilya Sharapov, Robert Schreiber, Michael Morrison, Vladimir Kibardin, Andrey Portnoy, Jean-Francois Dietiker, Madhava Syamlal, Michael James:
Fast Stencil-Code Computation on a Wafer-Scale Processor. CoRR abs/2010.03660 (2020)
2010 – 2019
- 2019
- [c9]Vitaliy Chiley, Ilya Sharapov, Atli Kosson, Urs Köster, Ryan Reece, Sofia Samaniego de la Fuente, Vishal Subbiah, Michael James:
Online Normalization for Training Neural Networks. NeurIPS 2019: 8431-8441 - [i1]Vitaliy Chiley, Ilya Sharapov, Atli Kosson, Urs Köster, Ryan Reece, Sofia Samaniego de la Fuente, Vishal Subbiah, Michael James:
Online Normalization for Training Neural Networks. CoRR abs/1905.05894 (2019) - 2016
- [c8]Chris J. Newburn, Jim Sukha, Ilya Sharapov, Anthony D. Nguyen, Chyi-Chang Miao:
Application Suitability Assessment for Many-Core Targets. ISC Workshops 2016: 319-338 - 2013
- [c7]Arunmoezhi Ramachandran
Performance Evaluation of NAS Parallel Benchmarks on Intel Xeon Phi. ICPP 2013: 736-743
2000 – 2009
- 2007
- [j2]Russell Brown, Ilya Sharapov:
High-Scalability Parallelization of a Molecular Modeling Application: Performance and Productivity Comparison Between OpenMP and MPI Implementations. Int. J. Parallel Program. 35(5): 441-458 (2007) - [c6]Razvan Cheveresan, Matthew Ramsay, Chris Feucht, Ilya Sharapov:
Characteristics of workloads used in high performance and technical computing. ICS 2007: 73-82 - 2006
- [c5]Lodewijk Bonebakker, Andrew Over, Ilya Sharapov:
Working Set Characterization of Applications with an Efficient LRU Algorithm. EPEW 2006: 78-92 - [c4]Russell Brown, Ilya Sharapov:
Performance and Programmability Comparison Between OpenMP and MPI Implementations of a Molecular Modeling Application. IWOMP 2006: 349-360 - [c3]Ilya Sharapov, Robert Kroeger, Guy Delamarter, Razvan Cheveresan, Matthew Ramsay:
A case study in top-down performance estimation for a large-scale parallel application. PPoPP 2006: 81-89 - 2003
- [c2]Ilya Sharapov, Gary Lauterbach, Stephen P. Crago:
Robust Highly-Connected Direct Interconnection Network Topologies. PDPTA 2003: 995-1000 - 2002
- [j1]Tony F. Chan
Subspace correction multi-level methods for elliptic eigenvalue problems. Numer. Linear Algebra Appl. 9(1): 1-20 (2002) - [c1]Jerome Verbeke, Neelakanth Nadgir, Greg Ruetsch, Ilya Sharapov:
Framework for Peer-to-Peer Distributed Computing in a Heterogeneous, Decentralized Environment. GRID 2002: 1-12
Coauthor Index
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last updated on 2024-06-25 20:59 CEST by the dblp team
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