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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. | ||
− | |||
* [[Whole-Program Adaptive Error Detection and Mitigation]]. | * [[Whole-Program Adaptive Error Detection and Mitigation]]. | ||
* Improving Vectorization. | * Improving Vectorization. | ||
* Compiler/Runtime Support for Developing Scalable Parallel Multi-Scale Multi-Physics Applications. | * Compiler/Runtime Support for Developing Scalable Parallel Multi-Scale Multi-Physics Applications. | ||
---- | ---- | ||
− | |||
* [[Global Trees]] - Globally addressable distributed tree data structure library and runtime. | * [[Global Trees]] - Globally addressable distributed tree data structure library and runtime. | ||
Line 22: | Line 20: | ||
* [[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 == | ||
Line 34: | Line 33: | ||
=== 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/~nisa/ Israt Nisa] | * [http://web.cse.ohio-state.edu/~nisa/ Israt Nisa] | ||
* Changwan Hong | * Changwan Hong | ||
+ | * Hyunjean Choi | ||
* Jinsung Kim | * Jinsung Kim | ||
* Rui Li | * Rui Li | ||
− | |||
* Süreyya Emre Kurt | * Süreyya Emre Kurt | ||
+ | * [https://gordonmoon.github.io/ Gordon E. Moon] | ||
+ | * Miheer Vaidya | ||
=== Master Students === | === Master Students === | ||
− | * | + | * Rahul Kumar |
− | + | ||
− | * | + | <!-- * Kunal Singh |
+ | * Vineeth Thumma | ||
+ | * Rohit Kumar Srivastava --> | ||
== Laboratory Alumni == | == Laboratory Alumni == | ||
− | * Samyam Rajbhandari, | + | * Prashant Rawat, Xilinx |
− | * Martin Kong, | + | * 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 | ||
− | * | + | * 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], | + | * [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 | ||
− | * | + | * Tom Henretty, Reservoir Labs |
− | * | + | * 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], | + | * [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
- 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