Jack Deslippe

According to our database1, Jack Deslippe authored at least 32 papers between 2012 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Large-scale GW calculations on pre-exascale HPC systems.
Computer Physics Communications, 2019

Eigensolver performance comparison on Cray XC systems.
Concurrency and Computation: Practice and Experience, 2019

2018
A Structure Preserving Lanczos Algorithm for Computing the Optical Absorption Spectrum.
SIAM J. Matrix Analysis Applications, 2018

Exascale Deep Learning for Climate Analytics.
CoRR, 2018

Preparing NERSC users for Cori, a Cray XC40 system with Intel many integrated cores.
Concurrency and Computation: Practice and Experience, 2018

Evaluating the networking characteristics of the Cray XC-40 Intel Knights Landing-based Cori supercomputer at NERSC.
Concurrency and Computation: Practice and Experience, 2018

A Novel Multi-level Integrated Roofline Model Approach for Performance Characterization.
Proceedings of the High Performance Computing - 33rd International Conference, 2018

Sparse CSB_Coo Matrix-Vector and Matrix-Matrix Performance on Intel Xeon Architectures.
Proceedings of the High Performance Computing, 2018

Exascale deep learning for climate analytics.
Proceedings of the International Conference for High Performance Computing, 2018

A Case Study for Performance Portability Using OpenMP 4.5.
Proceedings of the Accelerator Programming Using Directives - 5th International Workshop, 2018

A Metric for Evaluating Supercomputer Performance in the Era of Extreme Heterogeneity.
Proceedings of the 2018 IEEE/ACM Performance Modeling, 2018

2017
Improved treatment of exact exchange in Quantum ESPRESSO.
Computer Physics Communications, 2017

Galactos: Computing the Anisotropic 3-Point Correlation Function for 2 Billion Galaxies.
CoRR, 2017

Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data.
CoRR, 2017

Analyzing Performance of Selected NESAP Applications on the Cori HPC System.
Proceedings of the High Performance Computing, 2017

Optimizing Fusion PIC Code Performance at Scale on Cori Phase Two.
Proceedings of the High Performance Computing, 2017

Performance Variability on Xeon Phi.
Proceedings of the High Performance Computing, 2017

Python in the NERSC Exascale Science Applications Program for Data.
Proceedings of the 7th Workshop on Python for High-Performance and Scientific Computing, 2017

Deep learning at 15PF: supervised and semi-supervised classification for scientific data.
Proceedings of the International Conference for High Performance Computing, 2017

Galactos: computing the anisotropic 3-point correlation function for 2 billion galaxies.
Proceedings of the International Conference for High Performance Computing, 2017

2016
Optimization of the Sparse Matrix-Vector Products of an IDR Krylov Iterative Solver in EMGeo for the Intel KNL Manycore Processor.
Proceedings of the High Performance Computing, 2016

Applying the Roofline Performance Model to the Intel Xeon Phi Knights Landing Processor.
Proceedings of the High Performance Computing, 2016

Optimizing Excited-State Electronic-Structure Codes for Intel Knights Landing: A Case Study on the BerkeleyGW Software.
Proceedings of the High Performance Computing, 2016


MPI usage at NERSC: Present and Future.
Proceedings of the 23rd European MPI Users' Group Meeting, EuroMPI 2016, 2016

OpenMP Parallelization and Optimization of Graph-Based Machine Learning Algorithms.
Proceedings of the OpenMP: Memory, Devices, and Tasks, 2016


2015
Numerical integration for ab initio many-electron self energy calculations within the GW approximation.
J. Comput. Physics, 2015

Lessons Learned from Optimizing Science Kernels for Intel's "Knights Corner"' Architecture.
Computing in Science and Engineering, 2015

2014
Workflow management for real-time analysis of lightsource experiments.
Proceedings of the 9th Workshop on Workflows in Support of Large-Scale Science, 2014

2013
Extreme Data Science at the National Energy Research Scientific Computing (NERSC) Center.
Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013

2012
BerkeleyGW: A massively parallel computer package for the calculation of the quasiparticle and optical properties of materials and nanostructures.
Computer Physics Communications, 2012


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