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− | + | == 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. | |
+ | * [http://pluto-compiler.sourceforge.net/ 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 == | |
+ | * [[user_details|For members of the lab]] | ||
+ | * [[admin_details|For admins]] | ||
+ | == Laboratory Members == | ||
− | == | + | === Faculty === |
− | * [http://www. | + | * [http://www.cse.ohio-state.edu/~saday/ Professor P. Sadayappan] |
− | * [http:// | + | |
− | * [http:// | + | === Researchers === |
+ | * [http://web.cse.ohio-state.edu/~sukumaranrajam.1/ Aravind Sukumaran Rajam] | ||
+ | |||
+ | === PhD Students === | ||
+ | * [http://web.cse.ohio-state.edu/~nisa/ Israt Nisa] | ||
+ | * Changwan Hong | ||
+ | * Hyunjean Choi | ||
+ | * Jinsung Kim | ||
+ | * Rui Li | ||
+ | * Süreyya Emre Kurt | ||
+ | * [https://gordonmoon.github.io/ Gordon E. Moon] | ||
+ | * Miheer Vaidya | ||
+ | |||
+ | === Master Students === | ||
+ | * Rahul Kumar | ||
+ | |||
+ | <!-- * Kunal Singh | ||
+ | * Vineeth Thumma | ||
+ | * Rohit Kumar Srivastava --> | ||
+ | |||
+ | == 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 | ||
+ | * [http://kevinstock.org 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 | ||
+ | * [http://hpc.pnl.gov/people/sriram/ Sriram Krishnamoorthy], Pacific Northwest National Laboratory | ||
+ | * Nawab Ali, Intel | ||
+ | * Arjun Singri, Amazon | ||
+ | * [https://sites.google.com/site/qingda/ 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 |
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
- Israt Nisa
- Changwan Hong
- Hyunjean Choi
- Jinsung Kim
- Rui Li
- Süreyya Emre Kurt
- Gordon E. Moon
- Miheer Vaidya
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