Devesh Tiwari

Orcid: 0000-0002-7253-2458

According to our database1, Devesh Tiwari authored at least 129 papers between 2009 and 2024.

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Bibliography

2024
StarShip: Mitigating I/O Bottlenecks in Serverless Computing for Scientific Workflows.
Proc. ACM Meas. Anal. Comput. Syst., 2024

The globus compute dataset: An open function-as-a-service dataset from the edge to the cloud.
Future Gener. Comput. Syst., 2024

OrganiQ: Mitigating Classical Resource Bottlenecks of Quantum Generative Adversarial Networks on NISQ-Era Machines.
CoRR, 2024

Qompose: A Technique to Select Optimal Algorithm- Specific Layout for Neutral Atom Quantum Architectures.
CoRR, 2024

WarmSwap: Sharing Dependencies for Accelerating Cold Starts in Serverless Functions.
CoRR, 2024

EcoLife: Carbon-Aware Serverless Function Scheduling for Sustainable Computing.
CoRR, 2024

LLM Inference Serving: Survey of Recent Advances and Opportunities.
CoRR, 2024

Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference.
CoRR, 2024

Interpretable Analysis of Production GPU Clusters Monitoring Data via Association Rule Mining.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Sprout: Green Generative AI with Carbon-Efficient LLM Inference.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The Hidden Carbon Footprint of Serverless Computing.
Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

CodeCrunch: Improving Serverless Performance via Function Compression and Cost-Aware Warmup Location Optimization.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

ProxiML: Building Machine Learning Classifiers for Photonic Quantum Computing.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023
Toward Privacy in Quantum Program Execution On Untrusted Quantum Cloud Computing Machines for Business-sensitive Quantum Needs.
CoRR, 2023

Sustainable HPC: Modeling, Characterization, and Implications of Carbon Footprint in Modern HPC Systems.
CoRR, 2023

Green Carbon Footprint for Model Inference Serving via Exploiting Mixed-Quality Models and GPU Partitioning.
CoRR, 2023

Experimental Evaluation of Xanadu X8 Photonic Quantum Computer: Error Measurement, Characterization and Implications.
Proceedings of the International Conference for High Performance Computing, 2023

GRAPHINE: Enhanced Neutral Atom Quantum Computing using Application-Specific Rydberg Atom Arrangement.
Proceedings of the International Conference for High Performance Computing, 2023

Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service.
Proceedings of the International Conference for High Performance Computing, 2023

Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems.
Proceedings of the International Conference for High Performance Computing, 2023

SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

ProPack: Executing Concurrent Serverless Functions Faster and Cheaper.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

Quantum Computing Reliability: Problems, Tools, and Potential Solutions.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

Invited: Building Robust Quantum System Software for Technology-Specific Characteristics.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023


Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale.
Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Characterizing and Exploiting Soft Error Vulnerability Phase Behavior in GPU Applications.
IEEE Trans. Dependable Secur. Comput., 2022

Building Heterogeneous Cloud System for Machine Learning Inference.
CoRR, 2022

Using Multi-Instance GPU for Efficient Operation of Multi-Tenant GPU Clusters.
CoRR, 2022

The MIT Supercloud Workload Classification Challenge.
CoRR, 2022

DayDream: Executing Dynamic Scientific Workflows on Serverless Platforms with Hot Starts.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

Charter: Identifying the Most-Critical Gate Operations in Quantum Circuits via Amplified Gate Reversibility.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

Mashup: making serverless computing useful for HPC workflows via hybrid execution.
Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Geyser: a compilation framework for quantum computing with neutral atoms.
Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022


Characterizing Multi-Instance GPU for Machine Learning Workloads.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

DASH: Scheduling Deep Learning Workloads on Multi-Generational GPU-Accelerated Clusters.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Benchmarking Resource Usage for Efficient Distributed Deep Learning.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Bringing Serverless Computing to the HPC Community.
Proceedings of the HiPS@HPDC 2022: Proceedings of the 2nd Workshop on High Performance Serverless Computing, 2022


OPTIC: A Practical Quantum Binary Classifier for Near-Term Quantum Computers.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Do Temperature and Humidity Exposures Hurt or Benefit Your SSDs?
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

What does Inter-Cluster Job Submission and Execution Behavior Reveal to Us?
Proceedings of the IEEE International Conference on Cluster Computing, 2022

MISO: exploiting multi-instance GPU capability on multi-tenant GPU clusters.
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

IceBreaker: warming serverless functions better with heterogeneity.
Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

QUEST: systematically approximating Quantum circuits for higher output fidelity.
Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Study of interconnect errors, network congestion, and applications characteristics for throttle prediction on a large scale HPC system.
J. Parallel Distributed Comput., 2021

Robust and Resource-Efficient Quantum Circuit Approximation.
CoRR, 2021

RIBBON: cost-effective and qos-aware deep learning model inference using a diverse pool of cloud computing instances.
Proceedings of the International Conference for High Performance Computing, 2021

Systematically inferring I/O performance variability by examining repetitive job behavior.
Proceedings of the International Conference for High Performance Computing, 2021

Bliss: auto-tuning complex applications using a pool of diverse lightweight learning models.
Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

SATORI: Efficient and Fair Resource Partitioning by Sacrificing Short-Term Benefits for Long-Term Gains<sup>*</sup>.
Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

Characterizing and Mitigating the I/O Scalability Challenges for Serverless Applications.
Proceedings of the IEEE International Symposium on Workload Characterization, 2021


Serving Machine Learning Inference Using Heterogeneous Hardware.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Operating Liquid-Cooled Large-Scale Systems: Long-Term Monitoring, Reliability Analysis, and Efficiency Measures.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

Examining Failures and Repairs on Supercomputers with Multi-GPU Compute Nodes.
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

Qraft: reverse your Quantum circuit and know the correct program output.
Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020
Resilience and coevolution of preferential interdependent networks.
Soc. Netw. Anal. Min., 2020

Comparing Performances of Five Distinct Automatic Classifiers for Fin Whale Vocalizations in Beamformed Spectrograms of Coherent Hydrophone Array.
Remote. Sens., 2020

UREQA: Leveraging Operation-Aware Error Rates for Effective Quantum Circuit Mapping on NISQ-Era Quantum Computers.
Proceedings of the 2020 USENIX Annual Technical Conference, 2020

Exploring the Potential of using Power as a First Class Parameter for Resource Allocation in Apache Mesos Managed Clouds.
Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020

Veritas: accurately estimating the correct output on noisy intermediate-scale quantum computers.
Proceedings of the International Conference for High Performance Computing, 2020

Experimental evaluation of NISQ quantum computers: error measurement, characterization, and implications.
Proceedings of the International Conference for High Performance Computing, 2020

Job characteristics on large-scale systems: long-term analysis, quantification, and implications.
Proceedings of the International Conference for High Performance Computing, 2020

What does Power Consumption Behavior of HPC Jobs Reveal? : Demystifying, Quantifying, and Predicting Power Consumption Characteristics.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Message from the Program Chairs : IISWC 2020.
Proceedings of the IEEE International Symposium on Workload Characterization, 2020

DisQ: A Novel Quantum Output State Classification Method on IBM Quantum Computers using OpenPulse.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

CLITE: Efficient and QoS-Aware Co-Location of Multiple Latency-Critical Jobs for Warehouse Scale Computers.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

Uncovering Access, Reuse, and Sharing Characteristics of I/O-Intensive Files on Large-Scale Production HPC Systems.
Proceedings of the 18th USENIX Conference on File and Storage Technologies, 2020

GIFT: A Coupon Based Throttle-and-Reward Mechanism for Fair and Efficient I/O Bandwidth Management on Parallel Storage Systems.
Proceedings of the 18th USENIX Conference on File and Storage Technologies, 2020

Making Disk Failure Predictions SMARTer!
Proceedings of the 18th USENIX Conference on File and Storage Technologies, 2020

2019
An Analysis Workflow-Aware Storage System for Multi-Core Active Flash Arrays.
IEEE Trans. Parallel Distributed Syst., 2019

Two stage cluster for resource optimization with Apache Mesos.
CoRR, 2019

Revisiting I/O behavior in large-scale storage systems: the expected and the unexpected.
Proceedings of the International Conference for High Performance Computing, 2019

Characterizing Disk Health Degradation and Proactively Protecting Against Disk Failures for Reliable Storage Systems.
Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019

PERQ: Fair and Efficient Power Management of Power-Constrained Large-Scale Computing Systems.
Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

PCFI: Program Counter Guided Fault Injection for Accelerating GPU Reliability Assessment.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

What does Vibration do to Your SSD?
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Towards Enabling Dynamic Resource Estimation and Correction for Improving Utilization in an Apache Mesos Cloud Environment.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

Exploring Potential for Non-Disruptive Vertical Auto Scaling and Resource Estimation in Kubernetes.
Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

2018
Exploring the Optimal Platform Configuration for Power-Constrained HPC Workflows.
Proceedings of the 27th International Conference on Computer Communication and Networks, 2018

Machine Learning Models for GPU Error Prediction in a Large Scale HPC System.
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2018

Understanding and Analyzing Interconnect Errors and Network Congestion on a Large Scale HPC System.
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2018

Shiraz: Exploiting System Reliability and Application Resilience Characteristics to Improve Large Scale System Throughput.
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2018

Reliability Characterization of Solid State Drives in a Scalable Production Datacenter.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Resilience and the Coevolution of Interdependent Multiplex Networks.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Obtaining and Managing Answer Quality for Online Data-Intensive Services.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2017

Compiler-Directed Soft Error Detection and Recovery to Avoid DUE and SDC via Tail-DMR.
ACM Trans. Embed. Comput. Syst., 2017

GUIDE: a scalable information directory service to collect, federate, and analyze logs for operational insights into a leadership HPC facility.
Proceedings of the International Conference for High Performance Computing, 2017

Failures in large scale systems: long-term measurement, analysis, and implications.
Proceedings of the International Conference for High Performance Computing, 2017

Combining architectural fault-injection and neutron beam testing approaches toward better understanding of GPU soft-error resilience.
Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

Toward Managing HPC Burst Buffers Effectively: Draining Strategy to Regulate Bursty I/O Behavior.
Proceedings of the 25th IEEE International Symposium on Modeling, 2017

Characterizing Temperature, Power, and Soft-Error Behaviors in Data Center Systems: Insights, Challenges, and Opportunities.
Proceedings of the 25th IEEE International Symposium on Modeling, 2017

Effective Running of End-to-End HPC Workflows on Emerging Heterogeneous Architectures.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016
Application configuration selection for energy-efficient execution on multicore systems.
J. Parallel Distributed Comput., 2016

Compiler-directed lightweight checkpointing for fine-grained guaranteed soft error recovery.
Proceedings of the International Conference for High Performance Computing, 2016

Granularity and the cost of error recovery in resilient AMR scientific applications.
Proceedings of the International Conference for High Performance Computing, 2016

Low-cost soft error resilience with unified data verification and fine-grained recovery for acoustic sensor based detection.
Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

Reducing Waste in Extreme Scale Systems through Introspective Analysis.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Adaptive Power Profiling for Many-Core HPC Architectures.
Proceedings of the 2016 IEEE International Conference on Autonomic Computing, 2016

A large-scale study of soft-errors on GPUs in the field.
Proceedings of the 2016 IEEE International Symposium on High Performance Computer Architecture, 2016

Power-Capping Aware Checkpointing: On the Interplay Among Power-Capping, Temperature, Reliability, Performance, and Energy.
Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2016

2015
A practical approach to reconciling availability, performance, and capacity in provisioning extreme-scale storage systems.
Proceedings of the International Conference for High Performance Computing, 2015

Reliability lessons learned from GPU experience with the Titan supercomputer at Oak Ridge leadership computing facility.
Proceedings of the International Conference for High Performance Computing, 2015

AnalyzeThis: an analysis workflow-aware storage system.
Proceedings of the International Conference for High Performance Computing, 2015

Clover: Compiler Directed Lightweight Soft Error Resilience.
Proceedings of the 16th ACM SIGPLAN/SIGBED Conference on Languages, 2015

Measuring and Managing Answer Quality for Online Data-Intensive Services.
Proceedings of the 2015 IEEE International Conference on Autonomic Computing, 2015

Understanding GPU errors on large-scale HPC systems and the implications for system design and operation.
Proceedings of the 21st IEEE International Symposium on High Performance Computer Architecture, 2015

Understanding and Exploiting Spatial Properties of System Failures on Extreme-Scale HPC Systems.
Proceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2015

Low Power Job Scheduler for Supercomputers: A Rule-Based Power-Aware Scheduler.
Proceedings of the IEEE International Conference on Data Science and Data Intensive Systems, 2015

2014
Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems.
Proceedings of the International Conference for High Performance Computing, 2014

MapReuse: Reusing Computation in an In-Memory MapReduce System.
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

Improving large-scale storage system performance via topology-aware and balanced data placement.
Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

Lazy Checkpointing: Exploiting Temporal Locality in Failures to Mitigate Checkpointing Overheads on Extreme-Scale Systems.
Proceedings of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2014

2013
Active flash: towards energy-efficient, in-situ data analytics on extreme-scale machines.
Proceedings of the 11th USENIX conference on File and Storage Technologies, 2013

2012
Reducing Data Movement Costs Using Energy-Efficient, Active Computation on SSD.
Proceedings of the 2012 Workshop on Power-Aware Computing Systems, HotPower'12, 2012

Architectural characterization and similarity analysis of sunspider and Google's V8 Javascript benchmarks.
Proceedings of the 2012 IEEE International Symposium on Performance Analysis of Systems & Software, 2012

Modeling and Analyzing Key Performance Factors of Shared Memory MapReduce.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

2011
HAQu: Hardware-accelerated queueing for fine-grained threading on a chip multiprocessor.
Proceedings of the 17th International Conference on High-Performance Computer Architecture (HPCA-17 2011), 2011

2010
MMT: Exploiting fine-grained parallelism in dynamic memory management.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

2009
Memory management thread for heap allocation intensive sequential applications.
Proceedings of the 10th workshop on MEmory performance, 2009


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