Devesh Tiwari

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 118

Top Venues

CoRR

DSN

HPCA

Publications

Hanfei Yu, Rohan Basu Roy, Christian Fontenot, Devesh Tiwari, Jian Li, Hong Zhang, Hao Wang, Seung-Jong Park
RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing. ASPLOS (1) (2024)
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
Interpretable Analysis of Production GPU Clusters Monitoring Data via Association Rule Mining. IPDPS (2024)
Francieli Boito, Jim M. Brandt, Valeria Cardellini, Philip H. Carns, Florina M. Ciorba, Hilary Egan, Ahmed Eleliemy, Ann C. Gentile, Thomas Gruber, Jeff Hanson, Utz-Uwe Haus, Kevin A. Huck, Thomas Ilsche, Thomas Jakobsche, Terry R. Jones, Sven Karlsson, Abdullah Mueen, Michael Ott, Tapasya Patki, Ivy Peng, Krishnan Raghavan, Stephen Simms, Kathleen Shoga, Michael T. Showerman, Devesh Tiwari, Torsten Wilde, Keiji Yamamoto
Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations. CoRR (2024)
Rohan Basu Roy, Devesh Tiwari
StarShip: Mitigating I/O Bottlenecks in Serverless Computing for Scientific Workflows. SIGMETRICS/Performance (Abstracts) (2024)
Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. CoRR (2024)
Rohan Basu Roy, Devesh Tiwari
StarShip: Mitigating I/O Bottlenecks in Serverless Computing for Scientific Workflows. Proc. ACM Meas. Anal. Comput. Syst. 8 (1) (2024)
Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari
Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference. CoRR (2024)
André Bauer, Haochen Pan, Ryan Chard, Yadu N. Babuji, Josh Bryan, Devesh Tiwari, Ian T. Foster, Kyle Chard
The globus compute dataset: An open function-as-a-service dataset from the edge to the cloud. Future Gener. Comput. Syst. 153 (2024)
Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari
LLM Inference Serving: Survey of Recent Advances and Opportunities. CoRR (2024)
Rohan Basu Roy, Tirthak Patel, Rohan Garg, Devesh Tiwari
CodeCrunch: Improving Serverless Performance via Function Compression and Cost-Aware Warmup Location Optimization. ASPLOS (1) (2024)
Aditya Ranjan, Tirthak Patel, Daniel Silver, Harshitta Gandhi, Devesh Tiwari
ProxiML: Building Machine Learning Classifiers for Photonic Quantum Computing. ASPLOS (3) (2024)
Zhengang Li, Geng Yuan, Tomoharu Yamauchi, Masoud Zabihi, Yanyue Xie, Peiyan Dong, Xulong Tang, Nobuyuki Yoshikawa, Devesh Tiwari, Yanzhi Wang, Olivia Chen
SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. CoRR (2023)
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
Sustainable HPC: Modeling, Characterization, and Implications of Carbon Footprint in Modern HPC Systems. CoRR (2023)
Francieli Boito, Jim M. Brandt, Valeria Cardellini, Philip H. Carns, Florina M. Ciorba, Hilary Egan, Ahmed Eleliemy, Ann C. Gentile, Thomas Gruber, Jeff Hanson, Utz-Uwe Haus, Kevin A. Huck, Thomas Ilsche, Thomas Jakobsche, Terry R. Jones, Sven Karlsson, Abdullah Mueen, Michael Ott, Tapasya Patki, Ivy Peng, Krishnan Raghavan, Stephen Simms, Kathleen Shoga, Michael T. Showerman, Devesh Tiwari, Torsten Wilde, Keiji Yamamoto
Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations. CLUSTER Workshops (2023)
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources. HPDC (2023)
Tirthak Patel, Devesh Tiwari
Invited: Building Robust Quantum System Software for Technology-Specific Characteristics. DAC (2023)
Baolin Li, Rohan Basu Roy, Daniel Wang, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems. SC (2023)
Daniel Silver, Tirthak Patel, William Cutler, Aditya Ranjan, Harshitta Gandhi, Devesh Tiwari
MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers. CoRR (2023)
Zhengang Li, Geng Yuan, Tomoharu Yamauchi, Masoud Zabihi, Yanyue Xie, Peiyan Dong, Xulong Tang, Nobuyuki Yoshikawa, Devesh Tiwari, Yanzhi Wang, Olivia Chen
SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. MICRO (2023)
Tirthak Patel, Daniel Silver, Devesh Tiwari
GRAPHINE: Enhanced Neutral Atom Quantum Computing using Application-Specific Rydberg Atom Arrangement. SC (2023)
Daniel Silver, Tirthak Patel, Devesh Tiwari
QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers. CoRR (2023)
Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference. CoRR (2023)
Daniel Silver, Aditya Ranjan, Tirthak Patel, Harshitta Gandhi, William Cutler, Devesh Tiwari
MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers. ICCV (2023)
Tirthak Patel, Daniel Silver, Aditya Ranjan, Harshitta Gandhi, William Cutler, Devesh Tiwari
Toward Privacy in Quantum Program Execution On Untrusted Quantum Cloud Computing Machines for Business-sensitive Quantum Needs. CoRR (2023)
Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. SoCC (2023)
Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference. HPEC (2023)
Daniel Silver, Tirthak Patel, Aditya Ranjan, Harshitta Gandhi, William Cutler, Devesh Tiwari
SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers. AAAI (2023)
Daniel Silver, Tirthak Patel, Aditya Ranjan, Harshitta Gandhi, William Cutler, Devesh Tiwari
SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers. CoRR (2023)
Rohan Basu Roy, Tirthak Patel, Richmond Liew, Yadu Nand Babuji, Ryan Chard, Devesh Tiwari
ProPack: Executing Concurrent Serverless Functions Faster and Cheaper. HPDC (2023)
Aditya Ranjan, Tirthak Patel, Harshitta Gandhi, Daniel Silver, William Cutler, Devesh Tiwari
Experimental Evaluation of Xanadu X8 Photonic Quantum Computer: Error Measurement, Characterization and Implications. SC (2023)
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service. SC (2023)
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
Green Carbon Footprint for Model Inference Serving via Exploiting Mixed-Quality Models and GPU Partitioning. CoRR (2023)
Edoardo Giusto, Emanuele Dri, Bartolomeo Montrucchio, Betis Baheri, Qiang Guan, Devesh Tiwari, Paolo Rech
Quantum Computing Reliability: Problems, Tools, and Potential Solutions. DSN-S (2023)
Fritz Previlon, Charu Kalra, Devesh Tiwari, David R. Kaeli
Characterizing and Exploiting Soft Error Vulnerability Phase Behavior in GPU Applications. IEEE Trans. Dependable Secur. Comput. 19 (1) (2022)
Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models. NAACL-HLT (Findings) (2022)
Tirthak Patel, Daniel Silver, Devesh Tiwari
CHARTER: Identifying the Most-Critical Gate Operations in Quantum Circuits via Amplified Gate Reversibility. CoRR (2022)
Tirthak Patel, Devesh Tiwari, Raj Kettimuthu, William E. Allcock, Paul Rich, Zhengchun Liu
What does Inter-Cluster Job Submission and Execution Behavior Reveal to Us? CLUSTER (2022)
Tirthak Patel, Ed Younis, Costin Iancu, Wibe de Jong, Devesh Tiwari
QUEST: systematically approximating Quantum circuits for higher output fidelity. ASPLOS (2022)
Tirthak Patel, Daniel Silver, Devesh Tiwari
OPTIC: A Practical Quantum Binary Classifier for Near-Term Quantum Computers. DATE (2022)
Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
Benchmarking Resource Usage for Efficient Distributed Deep Learning. CoRR (2022)
Baolin Li, Tirthak Patel, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
MISO: exploiting multi-instance GPU capability on multi-tenant GPU clusters. SoCC (2022)
Baolin Li, Tirthak Patel, Vijay Gadepally, Karen Gettings, Siddharth Samsi, Devesh Tiwari
DASH: Scheduling Deep Learning Workloads on Multi-Generational GPU-Accelerated Clusters. HPEC (2022)
Rohan Basu Roy, Tirthak Patel, Devesh Tiwari
DayDream: Executing Dynamic Scientific Workflows on Serverless Platforms with Hot Starts. SC (2022)
Devesh Tiwari
Bringing Serverless Computing to the HPC Community. HiPS@HPDC (2022)
Baolin Li, Tirthak Patel, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
Using Multi-Instance GPU for Efficient Operation of Multi-Tenant GPU Clusters. CoRR (2022)
Benny J. Tang, Qiqi Chen, Matthew L. Weiss, Nathan C. Frey, Joseph McDonald, David Bestor, Charles Yee, William Arcand, Chansup Byun, Daniel Edelman, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Andrew Bowne, Lindsey McEvoy, Baolin Li, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
The MIT Supercloud Workload Classification Challenge. CoRR (2022)
Tirthak Patel, Daniel Silver, Devesh Tiwari
Geyser: a compilation framework for quantum computing with neutral atoms. ISCA (2022)
Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Devesh Tiwari
Mashup: making serverless computing useful for HPC workflows via hybrid execution. PPoPP (2022)
Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
Benchmarking Resource Usage for Efficient Distributed Deep Learning. HPEC (2022)
Daniel Silver, Tirthak Patel, Devesh Tiwari
QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers. AAAI (2022)
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
Building Heterogeneous Cloud System for Machine Learning Inference. CoRR (2022)
Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models. CoRR (2022)
Baolin Li, Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Karen Gettings, Devesh Tiwari
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances. CoRR (2022)
Baolin Li, Rohin Arora, Siddharth Samsi, Tirthak Patel, William Arcand, David Bestor, Chansup Byun, Rohan Basu Roy, Bill Bergeron, John Holodnak, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Peter Michaleas, Joseph McDonald, Lauren Milechin, Julie Mullen, Andrew Prout, Benjamin Price, Albert Reuther, Antonio Rosa, Matthew L. Weiss, Charles Yee, Daniel Edelman, Allan Vanterpool, Anson Cheng, Vijay Gadepally, Devesh Tiwari
AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications. HPCA (2022)
Tirthak Patel, Daniel Silver, Devesh Tiwari
Charter: Identifying the Most-Critical Gate Operations in Quantum Circuits via Amplified Gate Reversibility. SC (2022)
Adnan Maruf, Sashri Brahmakshatriya, Baolin Li, Devesh Tiwari, Gang Quan, Janki Bhimani
Do Temperature and Humidity Exposures Hurt or Benefit Your SSDs? DATE (2022)
Benny J. Tang, Qiqi Chen, Matthew L. Weiss, Nathan C. Frey, Joseph McDonald, David Bestor, Charles Yee, William Arcand, William Bergeron, Chansup Byun, Daniel Edelman, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Andrew Bowne, Lindsey McEvoy, Baolin Li, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
The MIT Supercloud Workload Classification Challenge. IPDPS Workshops (2022)
Baolin Li, Vijay Gadepally, Siddharth Samsi, Devesh Tiwari
Characterizing Multi-Instance GPU for Machine Learning Workloads. IPDPS Workshops (2022)
Rohan Basu Roy, Tirthak Patel, Devesh Tiwari
IceBreaker: warming serverless functions better with heterogeneity. ASPLOS (2022)
Tirthak Patel, Devesh Tiwari
Qraft: reverse your Quantum circuit and know the correct program output. ASPLOS (2021)
Amir Taherin, Tirthak Patel, Giorgis Georgakoudis, Ignacio Laguna, Devesh Tiwari
Examining Failures and Repairs on Supercomputers with Multi-GPU Compute Nodes. DSN (2021)
Tirthak Patel, Ed Younis, Costin Iancu, Wibe de Jong, Devesh Tiwari
Robust and Resource-Efficient Quantum Circuit Approximation. CoRR (2021)
Mohit Kumar, Saurabh Gupta, Tirthak Patel, Michael Wilder, Weisong Shi, Song Fu, Christian Engelmann, Devesh Tiwari
Study of interconnect errors, network congestion, and applications characteristics for throttle prediction on a large scale HPC system. J. Parallel Distributed Comput. 153 (2021)
Siddharth Samsi, Matthew L. Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Charles Yee, Benjamin Price, Andrew Prout, Antonio Rosa, Allan Vanterpool, Lindsey McEvoy, Anson Cheng, Devesh Tiwari, Vijay Gadepally
The MIT Supercloud Dataset. CoRR (2021)
Siddharth Samsi, Matthew L. Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Charles Yee, Benjamin Price, Andrew Prout, Antonio Rosa, Allan Vanterpool, Lindsey McEvoy, Anson Cheng, Devesh Tiwari, Vijay Gadepally
The MIT Supercloud Dataset. HPEC (2021)
Baolin Li, Vijay Gadepally, Siddharth Samsi, Mark S. Veillette, Devesh Tiwari
Serving Machine Learning Inference Using Heterogeneous Hardware. HPEC (2021)
Emily Costa, Tirthak Patel, Benjamin Schwaller, Jim M. Brandt, Devesh Tiwari
Systematically inferring I/O performance variability by examining repetitive job behavior. SC (2021)
Baolin Li, Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Karen Gettings, Devesh Tiwari
RIBBON: cost-effective and qos-aware deep learning model inference using a diverse pool of cloud computing instances. SC (2021)
Tirthak Patel, Devesh Tiwari
DisQ: A Novel Quantum Output State Classification Method on IBM Quantum Computers using OpenPulse. CoRR (2021)
Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Devesh Tiwari
Bliss: auto-tuning complex applications using a pool of diverse lightweight learning models. PLDI (2021)
Rohan Basu Roy, Tirthak Patel, Devesh Tiwari
Characterizing and Mitigating the I/O Scalability Challenges for Serverless Applications. IISWC (2021)
Rohan Basu Roy, Tirthak Patel, Devesh Tiwari
. ISCA (2021)
Rohan Basu Roy, Tirthak Patel, Raj Kettimuthu, William E. Allcock, Paul Rich, Adam Scovel, Devesh Tiwari
Operating Liquid-Cooled Large-Scale Systems: Long-Term Monitoring, Reliability Analysis, and Efficiency Measures. HPCA (2021)
Devesh Tiwari, David R. Kaeli
Message from the Program Chairs : IISWC 2020. IISWC (2020)
Tirthak Patel, Adam Wagenhäuser, Christopher Eibel, Timo Hönig, Thomas Zeiser, Devesh Tiwari
What does Power Consumption Behavior of HPC Jobs Reveal? : Demystifying, Quantifying, and Predicting Power Consumption Characteristics. IPDPS (2020)
Tirthak Patel, Rohan Garg, Devesh Tiwari
GIFT: A Coupon Based Throttle-and-Reward Mechanism for Fair and Efficient I/O Bandwidth Management on Parallel Storage Systems. FAST (2020)
Auroop R. Ganguly, Tanay Mehta, Tirthak Patel, Ravi Sundaram, Devesh Tiwari
Resilience and coevolution of preferential interdependent networks. Soc. Netw. Anal. Min. 10 (1) (2020)
Heriberto A. Garcia, Trenton Couture, Amit Galor, Jessica M. Topple, Wei Huang, Devesh Tiwari, Purnima Ratilal
Comparing Performances of Five Distinct Automatic Classifiers for Fin Whale Vocalizations in Beamformed Spectrograms of Coherent Hydrophone Array. Remote. Sens. 12 (2) (2020)
Tirthak Patel, Devesh Tiwari
DisQ: A Novel Quantum Output State Classification Method on IBM Quantum Computers using OpenPulse. ICCAD (2020)
Tirthak Patel, Abhay Potharaju, Baolin Li, Rohan Basu Roy, Devesh Tiwari
Experimental evaluation of NISQ quantum computers: error measurement, characterization, and implications. SC (2020)
Tirthak Patel, Suren Byna, Glenn K. Lockwood, Nicholas J. Wright, Philip H. Carns, Robert B. Ross, Devesh Tiwari
Uncovering Access, Reuse, and Sharing Characteristics of I/O-Intensive Files on Large-Scale Production HPC Systems. FAST (2020)
Tirthak Patel, Baolin Li, Rohan Basu Roy, Devesh Tiwari
UREQA: Leveraging Operation-Aware Error Rates for Effective Quantum Circuit Mapping on NISQ-Era Quantum Computers. USENIX Annual Technical Conference (2020)
Tirthak Patel, Devesh Tiwari
CLITE: Efficient and QoS-Aware Co-Location of Multiple Latency-Critical Jobs for Warehouse Scale Computers. HPCA (2020)
Tirthak Patel, Zhengchun Liu, Raj Kettimuthu, Paul Rich, William E. Allcock, Devesh Tiwari
Job characteristics on large-scale systems: long-term analysis, quantification, and implications. SC (2020)
Tirthak Patel, Devesh Tiwari
Veritas: accurately estimating the correct output on noisy intermediate-scale quantum computers. SC (2020)
Sidi Lu, Bing Luo, Tirthak Patel, Yongtao Yao, Devesh Tiwari, Weisong Shi
Making Disk Failure Predictions SMARTer! FAST (2020)
Pradyumna Kaushik, Srinidhi Raghavendra, Madhusudhan Govindaraju, Devesh Tiwari
Exploring the Potential of using Power as a First Class Parameter for Resource Allocation in Apache Mesos Managed Clouds. UCC (2020)
Gourav Rattihalli, Madhusudhan Govindaraju, Devesh Tiwari
Towards Enabling Dynamic Resource Estimation and Correction for Improving Utilization in an Apache Mesos Cloud Environment. CCGRID (2019)
Tirthak Patel, Suren Byna, Glenn K. Lockwood, Devesh Tiwari
Revisiting I/O behavior in large-scale storage systems: the expected and the unexpected. SC (2019)
Gourav Rattihalli, Pankaj Saha, Madhusudhan Govindaraju, Devesh Tiwari
Two stage cluster for resource optimization with Apache Mesos. CoRR (2019)
Gourav Rattihalli, Madhusudhan Govindaraju, Hui Lu, Devesh Tiwari
Exploring Potential for Non-Disruptive Vertical Auto Scaling and Resource Estimation in Kubernetes. CLOUD (2019)
Song Huang, Shuwen Liang, Song Fu, Weisong Shi, Devesh Tiwari, Hsing-bung Chen
Characterizing Disk Health Degradation and Proactively Protecting Against Disk Failures for Reliable Storage Systems. ICAC (2019)
Tirthak Patel, Devesh Tiwari
PERQ: Fair and Efficient Power Management of Power-Constrained Large-Scale Computing Systems. HPDC (2019)
Janki Bhimani, Tirthak Patel, Ningfang Mi, Devesh Tiwari
What does Vibration do to Your SSD? DAC (2019)
Hyogi Sim, Geoffroy Vallée, Youngjae Kim, Sudharshan S. Vazhkudai, Devesh Tiwari, Ali Raza Butt
An Analysis Workflow-Aware Storage System for Multi-Core Active Flash Arrays. IEEE Trans. Parallel Distributed Syst. 30 (2) (2019)
Fritz G. Previlon, Charu Kalra, Devesh Tiwari, David R. Kaeli
PCFI: Program Counter Guided Fault Injection for Accelerating GPU Reliability Assessment. DATE (2019)
Mohit Kumar, Saurabh Gupta, Tirthak Patel, Michael Wilder, Weisong Shi, Song Fu, Christian Engelmann, Devesh Tiwari
Understanding and Analyzing Interconnect Errors and Network Congestion on a Large Scale HPC System. DSN (2018)
Bin Nie, Ji Xue, Saurabh Gupta, Tirthak Patel, Christian Engelmann, Evgenia Smirni, Devesh Tiwari
Machine Learning Models for GPU Error Prediction in a Large Scale HPC System. DSN (2018)
Auroop R. Ganguly, Tanbay Mehta, Ravi Sundaram, Devesh Tiwari
Resilience and the Coevolution of Interdependent Multiplex Networks. ASONAM (2018)
Shuwen Liang, Zhi Qiao, Jacob Hochstetler, Song Huang, Song Fu, Weisong Shi, Devesh Tiwari, Hsing-Bung Chen, Bradley W. Settlemyer, David Richard Montoya
Reliability Characterization of Solid State Drives in a Scalable Production Datacenter. IEEE BigData (2018)

Devesh Tiwari.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Devesh Tiwari