Krishna V. Palem

Rice University — United States

Computer Science · Physical Sciences

34h-index3.5kcitations152works0.02yr avg
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Research Topics

Parallel Computing and Optimization Techniques(69), Low-power high-performance VLSI design(54), Embedded Systems Design Techniques(36), Radiation Effects in Electronics(25), Distributed and Parallel Computing Systems(20)

Publications152 total

Energy efficient sorting, selection and searching
Theoretical Computer Science·2024
Algorithmic Foundations of Inexact Computing
arXiv (Cornell University)·2023Open Access
Energy Efficient Sorting, Selection and Searching
Lecture notes in computer science·2023· 1 cited
GOAL: Supporting General and Dynamic Adaptation in Computing Systems
2022· 2 cited
Quantum learning of concentrated Boolean functions
Quantum Information Processing·2022
Domain-driven models yield better predictions at lower cost than reservoir computers in Lorenz systems
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences·2021· 19 citedOpen Access
A polynomial time parallel algorithm for graph isomorphism using a quasipolynomial number of processors
arXiv (Cornell University)·2020Open Access
The Assurance Monitor Pattern
arXiv (Cornell University)·2020Open Access
Data-driven super-parametrization using deep learning for large scale turbulent flow in weather/climate modeling
Bulletin of the American Physical Society·2019
Data-driven prediction of a multi-scale Lorenz 96 chaotic system using a hierarchy of deep learning methods: Reservoir computing, ANN, and RNN-LSTM
Bulletin of the American Physical Society·2019· 14 cited
Language Support for Adaptation: Intent-Driven Programming in FAST
arXiv (Cornell University)·2019Open Access
Data-driven prediction of a multi-scale Lorenz 96 chaotic system using a hierarchy of deep learning methods: Reservoir computing, ANN, and RNN-LSTM
arXiv (Cornell University)·2019· 25 citedOpen Access
An Optimum Inexact Design for an Energy Efficient Hearing Aid
Journal of Low Power Electronics·2019· 5 cited
Proteus: Language and Runtime Support for Self-Adaptive Software Development
IEEE Software·2019· 17 cited
A Review on Probabilistic CMOS (PCMOS) Technology: From Device Characteristics to Ultra-Low-Energy SOC Architectures
2018
A study on the energy-precision tradeoffs on commercially available processors and SoCs with an EPI based energy model
2017
Sustaining Moore's Law Through Inexactness
arXiv (Cornell University)·2017· 2 citedOpen Access
Mixed Single/Double Precision in OpenIFS: A Detailed Study of Energy Savings, Scaling Effects, Architectural Effects, and Compilation Effects
EGUGA·2017· 1 cited
Location detection for navigation using IMUs with a map through coarse-grained machine learning
2017· 5 cited
Design and Applications of Approximate Circuits by Gate-Level Pruning
IEEE Transactions on Very Large Scale Integration (VLSI) Systems·2017· 94 citedOpen Access
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Frequent Co-authors

Avinash Lingamneni(10), Lakshmi Narasimhan Chakrapani(8), Pinar Korkmaz(8), Zvi M. Kedem(7), Christian Enz(7), Paul G. Spirakis(6), Jérémy Schlachter(4), Kirthi Krishna Muntimadugu(4), Rodric Rabbah(3), Christian Piguet(3), Arvind U. Raghunathan(3), Bilge E. S. Akgul(3), Peter Düben(3), Vincent J. Mooney(3), Jason George(2), B.E.S. Akgul(2), Zidong Du(2), Yunji Chen(2), Olivier Temam(2), Chengyong Wu(2)