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Siddharth Samsi

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2019
[c34]
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Chansup Byun, Anne Klein, Lauren Milechin, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner, William Arcand, David Bestor, William Bergeron, Matthew Hubbell, Vijay Gadepally, Michael Houle, Michael Jones:
Optimizing Xeon Phi for Interactive Data Analysis. HPEC 2019: 1-6
[c33]
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Chansup Byun, Anna Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones:
Large Scale Parallelization Using File-Based Communications. HPEC 2019: 1-7
[c32]
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Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Ryan A. Robinett, Sid Samsi:
Sparse Deep Neural Network Graph Challenge. HPEC 2019: 1-7
[c31]
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Jeremy Kepner, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell:
Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M. HPEC 2019: 1-6
[c30]
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Jeffrey Liu, David Strohschein, Siddharth Samsi, Andrew J. Weinert:
Large Scale Organization and Inference of an Imagery Dataset for Public Safety. HPEC 2019: 1-6
[c29]
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Andrew Prout, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones:
Securing HPC using Federated Authentication. HPEC 2019: 1-7
[c28]
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Survey and Benchmarking of Machine Learning Accelerators. HPEC 2019: 1-9
[c27]
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Siddharth Samsi, Christopher J. Mattioli, Mark S. Veillette:
Distributed Deep Learning for Precipitation Nowcasting. HPEC 2019: 1-7
[c26]
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  - conf/hpec/SchardlS19
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Tao B. Schardl, Siddharth Samsi:
TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir. HPEC 2019: 1-8
[i32]
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  - journals/corr/abs-1902-00846
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Jeremy Kepner, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
A Billion Updates per Second Using 30, 000 Hierarchical In-Memory D4M Databases. CoRR abs/1902.00846 (2019)
[i31]
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  - journals/corr/abs-1903-01982
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Julie Mullen, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers. CoRR abs/1903.01982 (2019)
[i30]
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  - journals/corr/abs-1905-03592
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Vijay Gadepally, Justin Goodwin, Jeremy Kepner, Albert Reuther, Hayley Reynolds, Siddharth Samsi, Jonathan Su, David Martinez:
AI Enabling Technologies: A Survey. CoRR abs/1905.03592 (2019)
[i29]
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  - journals/corr/abs-1907-03195
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, William Bergeron, Matthew Hubbell, Vijay Gadepally, Michael Houle, Michael Jones, Anne Klein, Lauren Milechin, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Optimizing Xeon Phi for Interactive Data Analysis. CoRR abs/1907.03195 (2019)
[i28]
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  - journals/corr/abs-1907-04217
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Jeremy Kepner, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther:
Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M. CoRR abs/1907.04217 (2019)
[i27]
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  - journals/corr/abs-1908-07573
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner:
Securing HPC using Federated Authentication. CoRR abs/1908.07573 (2019)
[i26]
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  - journals/corr/abs-1908-09006
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Jeffrey Liu, David Strohschein, Siddharth Samsi, Andrew J. Weinert:
Large Scale Organization and Inference of an Imagery Dataset for Public Safety. CoRR abs/1908.09006 (2019)
[i25]
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  - journals/corr/abs-1908-10964
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Siddharth Samsi, Christopher J. Mattioli, Mark S. Veillette:
Distributed Deep Learning for Precipitation Nowcasting. CoRR abs/1908.10964 (2019)
[i24]
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  - journals/corr/abs-1908-11338
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Tao B. Schardl, Siddharth Samsi:
TapirXLA: Embedding Fork-Join Parallelism into the XLA Compiler in TensorFlow Using Tapir. CoRR abs/1908.11338 (2019)
[i23]
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  - journals/corr/abs-1908-11348
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Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner:
Survey and Benchmarking of Machine Learning Accelerators. CoRR abs/1908.11348 (2019)
[i22]
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  - journals/corr/abs-1909-01241
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Large Scale Parallelization Using File-Based Communications. CoRR abs/1909.01241 (2019)
[i21]
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  - journals/corr/abs-1909-05631
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Jeremy Kepner, Simon Alford, Vijay Gadepally, Michael Jones, Lauren Milechin, Ryan A. Robinett, Sid Samsi:
Sparse Deep Neural Network Graph Challenge. CoRR abs/1909.05631 (2019)
2018
[c25]
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  - conf/embc/Samsi0KR18
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Siddharth Samsi, Michael Jones, Jeremy Kepner, Albert Reuther:
Colorization of H&E stained tissue using Deep Learning. EMBC 2018: 640-643
[c24]
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  - conf/hpec/0001KORABBBGHHK18
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Michael Jones, Jeremy Kepner, Bradley Orchard, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Julia S. Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
Interactive Launch of 16, 000 Microsoft Windows Instances on a Supercomputer. HPEC 2018: 1-6
[c23]
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  - conf/hpec/GadepallyKMABBB18
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Vijay Gadepally, Jeremy Kepner, Lauren Milechin, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Siddharth Samsi, Albert Reuther:
Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud. HPEC 2018: 1-6
[c22]
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  - conf/hpec/KepnerGJMS18
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Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Sid Samsi:
Sparse Deep Neural Network Exact Solutions. HPEC 2018: 1-8
[c21]
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  - conf/hpec/ProutABBBGHH0KM18
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner:
Measuring the Impact of Spectre and Meltdown. HPEC 2018: 1-5
[c20]
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  - conf/hpec/ReutherKBSABBGH18
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Albert Reuther, Jeremy Kepner, Chansup Byun, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Lauren Milechin, Julia S. Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Peter Michaleas:
Interactive Supercomputing on 40, 000 Cores for Machine Learning and Data Analysis. HPEC 2018: 1-6
[c19]
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  - conf/hpec/SamsiGH0KMMRSSS18
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Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Jeremy Kepner:
GraphChallenge.org: Raising the Bar on Graph Analytic Performance. HPEC 2018: 1-7
[c18]
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  - conf/hpec/SamsiYRFKR18
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Siddharth Samsi, Bea Yu, Darrell O. Ricke, Philip Fremont-Smith, Jeremy Kepner, Albert Reuther:
Large-Scale Bayesian Kinship Analysis. HPEC 2018: 1-4
[c17]
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  - conf/ipps/KepnerSABBDGHHJ18
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Jeremy Kepner, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Tim Davis, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Roger Pearce, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Geoffrey Sanders, Charles Yee, Albert Reuther:
Design, Generation, and Validation of Extreme Scale Power-Law Graphs. IPDPS Workshops 2018: 279-286
[c16]
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  - conf/supercomputer/MullenRABBBGHHJ18
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Julia S. Mullen, Albert Reuther, William Arcand, Bill Bergeron, David Bestor, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers. ISC Workshops 2018: 655-668
[i20]
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  - journals/corr/abs-1803-01281
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Jeremy Kepner, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Tim Davis, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Anna Klein, Peter Michaleas, Roger Pearce, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Geoffrey Sanders, Charles Yee, Albert Reuther:
Design, Generation, and Validation of Extreme Scale Power-Law Graphs. CoRR abs/1803.01281 (2018)
[i19]
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  - journals/corr/abs-1805-09675
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Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Jeremy Kepner:
GraphChallenge.org: Raising the Bar on Graph Analytic Performance. CoRR abs/1805.09675 (2018)
[i18]
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  - journals/corr/abs-1807-03165
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Jeremy Kepner, Vijay Gadepally, Hayden Jananthan, Lauren Milechin, Siddharth Samsi:
Sparse Deep Neural Network Exact Solutions. CoRR abs/1807.03165 (2018)
[i17]
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  - journals/corr/abs-1807-07814
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Albert Reuther, Jeremy Kepner, Chansup Byun, Siddharth Samsi, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Lauren Milechin, Julia S. Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Peter Michaleas:
Interactive Supercomputing on 40, 000 Cores for Machine Learning and Data Analysis. CoRR abs/1807.07814 (2018)
[i16]
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  - journals/corr/abs-1807-08703
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther, Jeremy Kepner:
Measuring the Impact of Spectre and Meltdown. CoRR abs/1807.08703 (2018)
[i15]
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  - journals/corr/abs-1808-04345
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Michael Jones, Jeremy Kepner, Bradley Orchard, Albert Reuther, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Anna Klein, Lauren Milechin, Julia S. Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
Interactive Launch of 16, 000 Microsoft Windows Instances on a Supercomputer. CoRR abs/1808.04345 (2018)
[i14]
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  - journals/corr/abs-1808-08353
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Vijay Gadepally, Jeremy Kepner, Lauren Milechin, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Siddharth Samsi, Albert Reuther:
Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud. CoRR abs/1808.08353 (2018)
2017
[j6]
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  - journals/jpdc/MullenBGSRK17
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Julia S. Mullen, Chansup Byun, Vijay Gadepally, Siddharth Samsi, Albert Reuther, Jeremy Kepner:
Learning by doing, High Performance Computing education in the MOOC era. J. Parallel Distrib. Comput. 105: 105-115 (2017)
[c15]
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  - conf/hpec/ByunKABBGHHJKMM17
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Benchmarking data analysis and machine learning applications on the Intel KNL many-core processor. HPEC 2017: 1-6
[c14]
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  - conf/hpec/JonesKABBGHHMPR17
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Michael Jones, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Peter Michaleas, Andrew Prout, Albert Reuther, Siddharth Samsi, Paul Monticiollo:
Performance measurements of supercomputing and cloud storage solutions. HPEC 2017: 1-5
[c13]
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Edward K. Kao, Vijay Gadepally, Michael B. Hurley, Michael Jones, Jeremy Kepner, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Siddharth Samsi, William Song, Diane Staheli, Steven Thomas Smith:
Streaming graph challenge: Stochastic block partition. HPEC 2017: 1-12
[c12]
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  - conf/hpec/MilechinGSKCH17
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Lauren Milechin, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner, Alexander Chen, Dylan Hutchison:
D4M 3.0: Extended database and language capabilities. HPEC 2017: 1-6
[c11]
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  - conf/hpec/ProutABBBGHHJMM17
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner:
MIT SuperCloud portal workspace: Enabling HPC web application deployment. HPEC 2017: 1-6
[c10]
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Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William Song, Diane Staheli, Jeremy Kepner:
Static graph challenge: Subgraph isomorphism. HPEC 2017: 1-6
[c9]
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Siddharth Samsi, Brian S. Helfer, Jeremy Kepner, Albert Reuther, Darrell O. Ricke:
A linear algebra approach to fast DNA mixture analysis using GPUs. HPEC 2017: 1-6
[c8]
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  - conf/isbi/BrattainTSKCC17
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Laura J. Brattain, Brian A. Telfer, Siddharth Samsi, Taeyun Ku, Heejin Choi, Kwanghun Chung:
Automated dense neuronal fiber tracing and connectivity mapping at cellular level. ISBI 2017: 332-336
[i13]
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Lauren Milechin, Alexander Chen, Vijay Gadepally, Dylan Hutchison, Siddharth Samsi, Jeremy Kepner:
D4M 3.0. CoRR abs/1702.03253 (2017)
[i12]
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Siddharth Samsi, Brian S. Helfer, Jeremy Kepner, Albert Reuther, Darrell O. Ricke:
A Linear Algebra Approach to Fast DNA Mixture Analysis Using GPUs. CoRR abs/1707.00516 (2017)
[i11]
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Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Benchmarking Data Analysis and Machine Learning Applications on the Intel KNL Many-Core Processor. CoRR abs/1707.03515 (2017)
[i10]
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner:
MIT SuperCloud Portal Workspace: Enabling HPC Web Application Deployment. CoRR abs/1707.05900 (2017)
[i9]
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  - journals/corr/abs-1708-00544
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Michael Jones, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Peter Michaleas, Andrew Prout, Albert Reuther, Siddharth Samsi, Paul Monticiollo:
Performance Measurements of Supercomputing and Cloud Storage Solutions. CoRR abs/1708.00544 (2017)
[i8]
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  - journals/corr/abs-1708-02934
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Lauren Milechin, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner, Alexander Chen, Dylan Hutchison:
D4M 3.0: Extended Database and Language Capabilities. CoRR abs/1708.02934 (2017)
[i7]
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  - journals/corr/abs-1708-06866
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Siddharth Samsi, Vijay Gadepally, Michael B. Hurley, Michael Jones, Edward K. Kao, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Steven Thomas Smith, William S. Song, Diane Staheli, Jeremy Kepner:
Static Graph Challenge: Subgraph Isomorphism. CoRR abs/1708.06866 (2017)
[i6]
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Edward K. Kao, Vijay Gadepally, Michael B. Hurley, Michael Jones, Jeremy Kepner, Sanjeev Mohindra, Paul Monticciolo, Albert Reuther, Siddharth Samsi, William Song, Diane Staheli, Steven Thomas Smith:
Streaming Graph Challenge: Stochastic Block Partition. CoRR abs/1708.07883 (2017)
2016
[c7]
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Mike Jones, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Lauren Milechin, Vijay Gadepally, Matthew Hubbell, Jeremy Kepner, Peter Michaleas, Julie Mullen, Andy Prout, Tony Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Scalability of VM provisioning systems. HPEC 2016: 1-5
[c6]
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Jeremy Kepner, Vijay Gadepally, Dylan Hutchison, Hayden Jananthan, Timothy G. Mattson, Siddharth Samsi, Albert Reuther:
Associative array model of SQL, NoSQL, and NewSQL databases. HPEC 2016: 1-9
[c5]
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner:
Enhancing HPC security with a user-based firewall. HPEC 2016: 1-4
[c4]
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Siddharth Samsi, Laura J. Brattain, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Albert Reuther:
Benchmarking SciDB data import on HPC systems. HPEC 2016: 1-5
[i5]
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Mike Jones, Bill Arcand, Bill Bergeron, David Bestor, Chansup Byun, Lauren Milechin, Vijay Gadepally, Matthew Hubbell, Jeremy Kepner, Peter Michaleas, Julie Mullen, Andy Prout, Tony Rosa, Siddharth Samsi, Charles Yee, Albert Reuther:
Scalability of VM Provisioning Systems. CoRR abs/1606.05794 (2016)
[i4]
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Jeremy Kepner, Vijay Gadepally, Dylan Hutchison, Hayden Jananthan, Timothy G. Mattson, Siddharth Samsi, Albert Reuther:
Associative Array Model of SQL, NoSQL, and NewSQL Databases. CoRR abs/1606.05797 (2016)
[i3]
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Andrew Prout, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Peter Michaleas, Lauren Milechin, Julie Mullen, Antonio Rosa, Siddharth Samsi, Albert Reuther, Jeremy Kepner:
Enhancing HPC Security with a User-Based Firewall. CoRR abs/1607.02982 (2016)
[i2]
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Siddharth Samsi, Laura J. Brattain, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Jeremy Kepner, Albert Reuther:
Benchmarking SciDB Data Import on HPC Systems. CoRR abs/1609.07545 (2016)
2014
[c3]
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Siddharth Samsi, Christophe Trefois, Paul M. A. Antony, Alexander Skupin:
Automated nuclei clump splitting by combining local concavity orientation and graph partitioning. BHI 2014: 412-415
[i1]
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Ashok K. Krishnamurthy, Siddharth Samsi, Vijay Gadepally:
Parallel MATLAB Techniques. CoRR abs/1407.2636 (2014)
2012
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Siddharth Samsi, Ashok K. Krishnamurthy, Metin N. Gurcan:
An efficient computational framework for the analysis of whole slide images: Application to follicular lymphoma immunohistochemistry. J. Comput. Science 3(5): 269-279 (2012)
2011
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  - journals/cmig/Belkacem-BoussaidSLG11
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Kamel Belkacem-Boussaid, Siddharth Samsi, Gerard Lozanski, Metin N. Gurcan:
Automatic detection of follicular regions in H&E images using iterative shape index. Comp. Med. Imag. and Graph. 35(7-8): 592-602 (2011)
2010
[j3]
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Siddharth Samsi, Vijay Gadepally, Ashok Krishnamurthy:
MATLAB for Signal Processing on Multiprocessors and Multicores. IEEE Signal Process. Mag. 27(2): 40-49 (2010)
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  - journals/tbe/SamsiLSKG10
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Siddharth Samsi, Gerard Lozanski, Arwa Shanaah, Ashok K. Krishnamurthy, Metin N. Gurcan:
Detection of Follicles From IHC-Stained Slides of Follicular Lymphoma Using Iterative Watershed. IEEE Trans. Biomed. Engineering 57(10): 2609-2612 (2010)

2000 – 2009

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2009
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David E. Hudak, Neil Ludban, Ashok K. Krishnamurthy, Vijay Gadepally, Siddharth Samsi, John Nehrbass:
A Computational Science IDE for HPC Systems: Design and Applications. International Journal of Parallel Programming 37(1): 91-105 (2009)
2008
[c2]
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  - conf/eScience/CalyamKLGSTHK08
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Prasad Calyam, Abdul Kalash, Neil Ludban, Sowmya Gopalan, Siddharth Samsi, Karen A. Tomko, David E. Hudak, Ashok K. Krishnamurthy:
Experiences from Cyberinfrastructure Development for Multi-user Remote Instrumentation. eScience 2008: 293-300
2007
[c1]
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Ashok K. Krishnamurthy, John Nehrbass, Juan Carlos Chaves, Siddharth Samsi:
Survey of Parallel MATLAB Techniques and Applications to Signal and Image Processing. ICASSP (4) 2007: 1181-1184

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