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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.
  • 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, Two Sigma
  • 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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