Jeff Daily

According to our database, Jeff Daily authored at least 27 papers between 2008 and 2020.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2020

Scaling Deep Learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing.

Nitin A. Gawande, Jeff A. Daily, Charles Siegel, Nathan R. Tallent, Abhinav Vishnu

Future Gener. Comput. Syst., 2020

Development of HELICS-based High-Performance Cyber-Physical Co-simulation Framework for Distributed Energy Resources Applications.

Jianhua Zhang, Jeff Daily, Ryan A. Mast, Bryan Palmintier, Dheepak Krishnamurthy, Tarek Elgindy, Anthony Florita, Bri-Mathias S. Hodge

Proceedings of the 2020 IEEE International Conference on Communications, 2020

2018

GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent.

Jeff Daily, Abhinav Vishnu, Charles Siegel, Thomas Warfel, Vinay Amatya

CoRR, 2018

2017

User-transparent Distributed TensorFlow.

Abhinav Vishnu, Joseph B. Manzano, Charles Siegel, Jeff Daily

CoRR, 2017

What does fault tolerant deep learning need from MPI?

Vinay Amatya, Abhinav Vishnu, Charles Siegel, Jeff Daily

Proceedings of the 24th European MPI Users' Group Meeting, 2017

Scaling Deep Learning Workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing.

Nitin A. Gawande, Joshua B. Landwehr, Jeff A. Daily, Nathan R. Tallent, Abhinav Vishnu, Darren J. Kerbyson

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Evaluating transactive controls of integrated transmission and distribution systems using the Framework for Network Co-Simulation.

Jacob Hansen, Thomas Edgar, Jeff Daily, Di Wu

Proceedings of the 2017 American Control Conference, 2017

2016

Distributed TensorFlow with MPI.

Abhinav Vishnu, Charles Siegel, Jeffrey Daily

CoRR, 2016

Parasail: SIMD C library for global, semi-global, and local pairwise sequence alignments.

Jeff Daily

BMC Bioinform., 2016

On the Impact of Widening Vector Registers on Sequence Alignment.

Jeffrey Daily, Ananth Kalyanaraman, Sriram Krishnamoorthy, Bin Ren

Proceedings of the 45th International Conference on Parallel Processing, 2016

Adaptive neuron apoptosis for accelerating deep learning on large scale systems.

Charles Siegel, Jeff Daily, Abhinav Vishnu

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

A work stealing based approach for enabling scalable optimal sequence homology detection.

Jeff Daily, Ananth Kalyanaraman, Sriram Krishnamoorthy, Abhinav Vishnu

J. Parallel Distributed Comput., 2015

A global climate model agent for high spatial and temporal resolution data.

Lynn Wood, Jeff Daily, Michael J. Henry, Bruce J. Palmer, Karen Schuchardt, Donald Dazlich, Ross Heikes, David A. Randall

Int. J. High Perform. Comput. Appl., 2015

Diagnosing the causes and severity of one-sided message contention.

Nathan R. Tallent, Abhinav Vishnu, Hubertus Van Dam, Jeff Daily, Darren J. Kerbyson, Adolfy Hoisie

Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2015

2014

A scientific data processing framework for time series NetCDF data.

Krista Gaustad, Tim Shippert, Brian Ermold, Sherman Beus, Jeff Daily, Atle Borsholm, Kevin Fox

Environ. Model. Softw., 2014

FNCS: a framework for power system and communication networks co-simulation.

Selim Ciraci, Jeff A. Daily, Jason C. Fuller, Andrew Fisher, Laurentiu Marinovici, Khushbu Agarwal

Proceedings of the 2014 Spring Simulation Multiconference, 2014

Synchronization Algorithms for Co-simulation of Power Grid and Communication Networks.

Selim Ciraci, Jeff A. Daily, Khushbu Agarwal, Jason C. Fuller, Laurentiu Marinovici, Andrew Fisher

Proceedings of the IEEE 22nd International Symposium on Modelling, 2014

On the suitability of MPI as a PGAS runtime.

Jeff Daily, Abhinav Vishnu, Bruce J. Palmer, Hubertus Van Dam, Darren J. Kerbyson

Proceedings of the 21st International Conference on High Performance Computing, 2014

A Runtime Verification Framework for Control System Simulation.

Selim Ciraci, Jason C. Fuller, Jeff A. Daily, Atefe Makhmalbaf, David Callahan

Proceedings of the IEEE 38th Annual Computer Software and Applications Conference, 2014

2013

Multi-Fault Tolerance for Cartesian Data Distributions.

Nawab Ali, Sriram Krishnamoorthy, Mahantesh Halappanavar, Jeff Daily

Int. J. Parallel Program., 2013

2012

A High Performance Computing Network and System Simulator for the Power Grid: NGNS^2.

Oreste Villa, Antonino Tumeo, Selim Ciraci, Jeff A. Daily, Jason C. Fuller

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Designing scalable PGAS communication subsystems on cray gemini interconnect.

Abhinav Vishnu, Jeff Daily, Bruce J. Palmer

Proceedings of the 19th International Conference on High Performance Computing, 2012

Towards scalable optimal sequence homology detection.

Jeff Daily, Sriram Krishnamoorthy, Ananth Kalyanaraman

Proceedings of the 19th International Conference on High Performance Computing, 2012

2011

Using the Global Arrays Toolkit to Reimplement NumPy for Distributed Computation.

Jeff Daily, Robert R. Lewis

Proceedings of the 10th Python in Science Conference 2011 (SciPy 2011), Austin, Texas, July 11, 2011

Poster: automatic parallelization of numerical python applications using the global arrays toolkit.

Jeff Daily, Robert R. Lewis

Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2011

Tolerating correlated failures for generalized Cartesian distributions via bipartite matching.

Nawab Ali, Sriram Krishnamoorthy, Mahantesh Halappanavar, Jeff Daily

Proceedings of the 8th Conference on Computing Frontiers, 2011

2008

Iterative Workflows for Numerical Simulations in Subsurface Sciences.

Jared Chase, Karen Schuchardt, George Chin Jr., Jeff Daily, Timothy D. Scheibe

Proceedings of the 2008 IEEE Congress on Services, Part I, 2008