Prakash Murali
I am a graduate student at Princeton University, advised by Prof. Margaret Martonosi. I work on compilation techniques and architecture for nearterm quantum computers.
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Publications

Resourceefficient quantum computing by breaking abstractions.
Y. Shi, P. Gokhale, P. Murali, J. M. Baker, C. Duckering, Y. Ding, N. C. Brown, C. Chamberland, A. J. Abhari, A. W. Cross, D. I. Schuster, K. R. Brown, M. Martonosi, and F. T. Chong.
To appear in Proceedings of the IEEE, March 2020

Architecting Noisy IntermediateScale Trapped Ion Quantum Computers
P. Murali, D. Debroy, K. Brown and M. Martonosi
To appear in International Symposium on Computer Architecture (ISCA), 2020

Software Mitigation of Crosstalk on Noisy IntermediateScale Quantum Computers
P. Murali, D. C. McKay, M. Martonosi and A. J. Abhari
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2020

FullStack, RealSystem Quantum Computer Studies: Architectural Comparisons and Design Insights.
P. Murali, N. M. Linke, M. Martonosi, A. J. Abhari, N. H. Nguyen, C. H. Alderete.
International Symposium on Computer Architecture (ISCA), 2019. Selected as one of the IEEE Micro Top Picks from computer architecture conferences of 2019.

NoiseAdaptive Compiler Mappings for Noisy IntermediateScale Quantum Computers.
P. Murali, J. M. Baker, A. J. Abhari, F. T. Chong and M. Martonosi
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2019
Lightning talk

Formal Constraintbased Compilation for Noisy IntermediateScale Quantum Systems
P. Murali, A. J. Abhari, F. T. Chong and M. Martonosi
Microprocessors and Microsystems, Special Issue on Quantum Computer Architecture: a fullstack overview. [Earlier version of ASPLOS 2019 paper]

On Optimizing Distributed Tucker Decomposition for Sparse Tensors
(alphabetical) V. T. Chakaravarthy, J.W. Choi, D. J. Joseph, P. Murali, Y. Sabharwal, S. Shivmaran and D. Sreedhar
International Conference on Supercomputing (ICS) , 2018

Metascheduling of HPC Jobs in DayAhead Electricity Markets
[post]
P. Murali and S. Vadhiyar
IEEE Transactions on Parallel and Distributed Systems (TPDS) Volume 29, Issue 3, pp. 614627, 2018

Coupling a Small Battery with a Datacenter for Frequency Regulation
R. B. Guruprasad, P. Murali, D. Krishnaswamy, S. Kalyanaraman
IEEE Power and Energy Society General Meeting (PES GM) , 2017

On Optimizing Distributed Tucker Decomposition for Dense Tensors
(alphabetical) V. T. Chakaravarthy, D. J. Joseph, P. Murali, Y. Sabharwal and D. Sreedhar
IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2017

Scalable Single Source Shortest Path Algorithms for Massively Parallel Systems
(alphabetical) V. T. Chakaravarthy, F. Checconi, P. Murali, F. Petrini and Y. Sabharwal
IEEE Transactions on Parallel and Distributed Systems (TPDS) Volume 28, Issue 7, pp. 20312045, 2017

Qespera: an adaptive framework for prediction of queue waiting times in supercomputer systems
P. Murali and S. Vadhiyar
Concurrency and Computation: Practice and Experience, Volume 28, Issue 9, pp. 26852710, 2016

Subgraph Counting: Color Coding Beyond Trees
(alphabetical) V. T. Chakaravarthy, M. Kapralov, P. Murali, F. Petrini, X. Que, Y. Sabharwal, B. Schieber
IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2016

Metascheduling of HPC Jobs in DayAhead Electricity Markets
P. Murali and S. Vadhiyar
IEEE International Conference on High Performance Computing (HiPC), 2015

Matching Application Signatures for Performance Predictions using a Single Execution
A. Jayakumar, P. Murali and S. Vadhiyar
IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2015

