Murali Emani

Postdoctoral Research Staff Member
Center for Applied Scientific Computing
Email: emani1@llnl.gov
Phone: +19254222745

I am a Postdoctoral Research Staff Member at the Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory. My research interests are in Parallel Computing, Fault tolerance and Resilience, Online Adaptation, High Performance Computing, Runtime Systems and Machine Learning.

I obtained my Ph.D. and worked as a Research Associate at the School of Informatics, University of Edinburgh, UK under the guidance of Prof. Michael O'Boyle.


Personal Web Site

This personal Web site is not sanctioned or supported by DOE, UC, LLNL, or any other organization.

https://memani1.github.io

 

Publications:

Theses

    Ph.D.: Adaptive Parallelism Mapping in Dynamic Environments using Machine Learning
    University of Edinburgh, UK, 2015

    Master's: Scalability of J2EE Applications on Multi-core Machines
    IIIT Bangalore, India, 2008

Professional Activities

Program Committee: PACT '18, CCGRID '18, ICPP '18
Technical Reviewer:
- Funding agencies: NSF '17
- Conferences: SBAC-PAD '16, PACT '15, IISWC '15, CC '13, HiPC '10
- Journals: Concurrency and Computation '18, Parco '18, ACM TOPC '16, Elsevier TJOR '15, Elsevier ParCo '18, '15, ACM TECS '15

Patents

  • (Granted) US Patent Publication number:US9317456 B2, "Method and system for performing event-matching with a graphical processing unit", Murali Krishna Emani, S Mallick
  •  (Granted) US Patent Publication number:US8869125 B2, "Systems and Methods for Demarcating Information Related to one or more Blocks in an Application",  Murali Krishna Emani, S Mallick and B Prasad
  •  (Granted) US Patent Publication number: 9,043,775, " Method for Identifying Problematics Loops in an Application and Devices thereof", Murali Krishna Emani, S Mallick and Balkrishna Prasad

Posters

  • “A Mixture of Experts Approach for Parallelism Mapping in Dynamic Environments", In International Workshop on Languages and Compilers for Parallel Computing, LCPC 2015.
  •  "Celebrating Diversity: A Mixture of Experts Approach for Runtime Mapping in Dynamic Environments",  In ACM SIGPLAN conference on Programming Language Design and Implementation (PLDI) 2015.
  •  "Towards Enabling Self-Adaptivity to Parallel Programs in Dynamic Environments", In ACM SIGPLAN conference on Programming Language Design and Implementation Student Research Competition (PLDI) 2014.
  •  "Workload-Aware Self-Adaptive Parallel Mapping”, 8th EuroSys Doctoral Workshop, Eurosys’14.
  •  "Smart, Adaptive Parallel Mapping in presence of External Workloads",  University of Edinburgh, ARM visit day, 2012
  • "A Predictive Modelling based Approach to Runtime Adaptation of Parallel Programs", Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES) 2011