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* EAGER - Towards Automated Characterization of the Data-Movement Complexity of Large Scale Analytics Applications.
 
* EAGER - Towards Automated Characterization of the Data-Movement Complexity of Large Scale Analytics Applications.
 
* XPS: FULL - Collaborative Research: PARAGRAPH: Parallel, Scalable Graph Analytics.
 
* XPS: FULL - Collaborative Research: PARAGRAPH: Parallel, Scalable Graph Analytics.
* [[PAdvisor]] - Padding advisor to avoid cache conflict misses.
 
 
* [[Whole-Program Adaptive Error Detection and Mitigation]].
 
* [[Whole-Program Adaptive Error Detection and Mitigation]].
 
* Improving Vectorization.
 
* Improving Vectorization.
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* [[IE]] - Inspector/Executor compiler : A source-to-source transformation to target distributed memory systems for partitionable irregular loop computations
 
* [[IE]] - Inspector/Executor compiler : A source-to-source transformation to target distributed memory systems for partitionable irregular loop computations
 
* [[SpMV on GPUs]] - Optimizing sparse matrix-vector multiplication on GPUs
 
* [[SpMV on GPUs]] - Optimizing sparse matrix-vector multiplication on GPUs
 +
* [[PAdvisor]] - Padding advisor to avoid cache conflict misses.
  
 
== Instructions / Details ==
 
== Instructions / Details ==
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=== Researchers ===
 
=== Researchers ===
* Aravind Sukumaran Rajam
+
* [http://web.cse.ohio-state.edu/~sukumaranrajam.1/ Aravind Sukumaran Rajam]
  
 
=== PhD Students ===
 
=== PhD Students ===
* [http://web.cse.ohio-state.edu/~rawatp/index.html Prashant Rawat]
 
* [http://web.cse.ohio-state.edu/~baow/ Wenlei Bao]
 
 
* [http://web.cse.ohio-state.edu/~nisa/ Israt Nisa]
 
* [http://web.cse.ohio-state.edu/~nisa/ Israt Nisa]
 
* Changwan Hong
 
* Changwan Hong
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* Rui Li
 
* Rui Li
 
* Süreyya Emre Kurt
 
* Süreyya Emre Kurt
* Gordon E. Moon
+
* [https://gordonmoon.github.io/ Gordon E. Moon]
 +
* Miheer Vaidya
  
 
=== Master Students ===
 
=== Master Students ===
* Rakshith kunchum
+
* Rahul Kumar
* Saurabh Singh
+
 
 +
<!-- * Kunal Singh
 +
* Vineeth Thumma
 +
* Rohit Kumar Srivastava -->
  
 
== Laboratory Alumni ==
 
== Laboratory Alumni ==
* Samyam Rajbhandari, Intel
+
* Prashant Rawat, Xilinx
* Martin Kong, Rice University
+
* Wenlei Bao, Microsoft
 +
* Kunal Singh, Amazon
 +
* Vineeth Thumma, Petuum
 +
* Rohit Kumar Srivastava, Amazon
 +
* Samyam Rajbhandari, Microsoft Research
 +
* Martin Kong, Brookhaven National Laboratory
 
* Venmugil Elango, NVIDIA
 
* Venmugil Elango, NVIDIA
 
* John Eisenlohr, Siemens
 
* John Eisenlohr, Siemens
* [https://sites.google.com/site/nsedaghati/ Naser Sedaghati], Imagination Technologies
+
* Naser Sedaghati, Cruise Automation
* [http://www.cse.ohio-state.edu/~niuq/ Qingpeng Niu], LinkedIn
+
* Qingpeng Niu, LinkedIn
* [http://www.cse.ohio-state.edu/~fauzia/ Naznin Fauzia], Expedia
+
* Naznin Fauzia, Expedia
* [http://www.cse.ohio-state.edu/~arafatm Md Humayun Arafat], Amazon
+
* Md Humayun Arafat, Amazon
* [http://www.mravishankar.com Mahesh Ravishankar], NVIDIA
+
* Mahesh Ravishankar, NVIDIA
* [http://www.cse.ohio-state.edu/~laip/ Pai-Wei Lai], Yelp
+
* Pai-Wei Lai, Yelp
* [http://www.cse.ohio-state.edu/~ashari Arash Ashari], Facebook
+
* Arash Ashari, Facebook
* [http://www.cse.ohio-state.edu/~tavarage/ Sanket Tavarageri], PlaceIQ
+
* Sanket Tavarageri, SJSU
* [http://kevinstock.org Kevin Stock], Two Sigma
+
* [http://kevinstock.org Kevin Stock], Addepar
 
* Brian Larkins, Coastal Carolina University
 
* Brian Larkins, Coastal Carolina University
 
* James Dinan, Intel
 
* James Dinan, Intel
 
* Karthiyayini Chinnaswamy, Intel
 
* Karthiyayini Chinnaswamy, Intel
 
* Muthu Baskaran, Reservoir Labs
 
* Muthu Baskaran, Reservoir Labs
* [http://www.cse.ohio-state.edu/~henretty Tom Henretty], Reservoir Labs
+
* Tom Henretty, Reservoir Labs
* [http://jholewinski.org/ Justin Holewinski], NVIDIA
+
* Justin Holewinski, NVIDIA
 
* Giridhar S. Murthy, Apple
 
* Giridhar S. Murthy, Apple
 
* [http://hpc.pnl.gov/people/sriram/ Sriram Krishnamoorthy], Pacific Northwest National Laboratory
 
* [http://hpc.pnl.gov/people/sriram/ Sriram Krishnamoorthy], Pacific Northwest National Laboratory
 
* Nawab Ali, Intel
 
* Nawab Ali, Intel
 
* Arjun Singri, Amazon
 
* Arjun Singri, Amazon
* [https://sites.google.com/site/qingda/ Qingda Lu], Intel
+
* [https://sites.google.com/site/qingda/ Qingda Lu], Alibaba
 
* Gaurav Khanna, Intel
 
* Gaurav Khanna, Intel
 
* Rajkiran Panuganti, Microsoft
 
* Rajkiran Panuganti, Microsoft

Latest revision as of 22:29, 8 April 2019

Contents

High Performance Computing Research Projects

  • EAGER - Towards Automated Characterization of the Data-Movement Complexity of Large Scale Analytics Applications.
  • XPS: FULL - Collaborative Research: PARAGRAPH: Parallel, Scalable Graph Analytics.
  • Whole-Program Adaptive Error Detection and Mitigation.
  • Improving Vectorization.
  • Compiler/Runtime Support for Developing Scalable Parallel Multi-Scale Multi-Physics Applications.

  • Global Trees - Globally addressable distributed tree data structure library and runtime.
  • Pluto - An automatic parallelizer and locality optimizer for multicores.
  • Scioto - A scalable taskpools framework for global address space programming models.
  • Tensor Contraction Engine - An optimization system for quantum chemistry tensor equations.
  • UTS - The Unbalanced Tree Search benchmark is an irregular parallel benchmark.
  • PrimeTile - A parametric multi-level tiler for imperfect loop nests.
  • Hybrid MPI+UPC - Hybrid parallel programming with MPI and Unified Parallel C.
  • Polyhedral Compilation - Polyhedral Compilation projects.
  • DDGVec - A dynamic analysis of vectorization potential.
  • HOSTS - The High Order Stencil Transformation Suite: A framework for enhancing data reuse via associative reordering.
  • SDSL - Stencil Domain Specific Language: A language and compiler for developing performance portable stencil code.
  • IE - Inspector/Executor compiler : A source-to-source transformation to target distributed memory systems for partitionable irregular loop computations
  • SpMV on GPUs - Optimizing sparse matrix-vector multiplication on GPUs
  • PAdvisor - Padding advisor to avoid cache conflict misses.

Instructions / Details

Laboratory Members

Faculty

Researchers

PhD Students

Master Students

  • Rahul Kumar


Laboratory Alumni

  • Prashant Rawat, Xilinx
  • Wenlei Bao, Microsoft
  • Kunal Singh, Amazon
  • Vineeth Thumma, Petuum
  • Rohit Kumar Srivastava, Amazon
  • Samyam Rajbhandari, Microsoft Research
  • Martin Kong, Brookhaven National Laboratory
  • Venmugil Elango, NVIDIA
  • John Eisenlohr, Siemens
  • Naser Sedaghati, Cruise Automation
  • Qingpeng Niu, LinkedIn
  • Naznin Fauzia, Expedia
  • Md Humayun Arafat, Amazon
  • Mahesh Ravishankar, NVIDIA
  • Pai-Wei Lai, Yelp
  • Arash Ashari, Facebook
  • Sanket Tavarageri, SJSU
  • Kevin Stock, Addepar
  • Brian Larkins, Coastal Carolina University
  • James Dinan, Intel
  • Karthiyayini Chinnaswamy, Intel
  • Muthu Baskaran, Reservoir Labs
  • Tom Henretty, Reservoir Labs
  • Justin Holewinski, NVIDIA
  • Giridhar S. Murthy, Apple
  • Sriram Krishnamoorthy, Pacific Northwest National Laboratory
  • Nawab Ali, Intel
  • Arjun Singri, Amazon
  • Qingda Lu, Alibaba
  • Gaurav Khanna, Intel
  • Rajkiran Panuganti, Microsoft
  • Alexander Sibiryakov, Microsoft
  • Sandhya Krishnan, Google
  • Uday Bondhugula, IISc
  • Nagavijayalakshmi Vydyanathan, Siemens
  • Aniruddha G. Shet, Intel
  • Gerald Sabin, RNET Technologies Inc.
  • Xiaoyang Gao, IBM
  • Bhargavi Rajaraman, Callfinity
  • Mohammad Kamrul Islam, LinkedIn
  • Alina Bibireata, GE Healthcare
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