Jack Deslippe

Affiliations:
  • Lawrence Berkeley National Laboratory, USA


According to our database1, Jack Deslippe authored at least 45 papers between 2012 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
A survey of software implementations used by application codes in the Exascale Computing Project.
Int. J. High Perform. Comput. Appl., 2022

2021
Accelerating large scale <i>de novo</i> metagenome assembly using GPUs.
Proceedings of the International Conference for High Performance Computing, 2021

An Extended Roofline Performance Model with PCI-E and Network Ceilings.
Proceedings of the 2021 International Workshop on Performance Modeling, 2021

In-situ assessment of device-side compute work for dynamic load balancing in a GPU-accelerated PIC code.
Proceedings of the PASC '21: Platform for Advanced Scientific Computing Conference, 2021

Evaluating Performance and Portability of a core bioinformatics kernel on multiple vendor GPUs.
Proceedings of the International Workshop on Performance, 2021

An efficient fault-tolerant communication algorithm for population-based metaheuristics.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Reproducibility in G0W0 calculations for solids.
Comput. Phys. Commun., 2020

Rapid Exploration of Optimization Strategies on Advanced Architectures using TestSNAP and LAMMPS.
CoRR, 2020

ADEPT: a domain independent sequence alignment strategy for gpu architectures.
BMC Bioinform., 2020

Timemory: Modular Performance Analysis for HPC.
Proceedings of the High Performance Computing - 35th International Conference, 2020

Evaluating Performance Portability of OpenMP for SNAP on NVIDIA, Intel, and AMD GPUs Using the Roofline Methodology.
Proceedings of the Accelerator Programming Using Directives - 7th International Workshop, 2020

Accelerating large-scale excited-state GW calculations on leadership HPC systems.
Proceedings of the International Conference for High Performance Computing, 2020

2019
Large-scale GW calculations on pre-exascale HPC systems.
Comput. Phys. Commun., 2019

A Molecular-MNIST Dataset for Machine Learning Study on Diffraction Imaging and Microscopy.
CoRR, 2019

Eigensolver performance comparison on Cray XC systems.
Concurr. Comput. Pract. Exp., 2019

Performance Portability of a Wilson Dslash Stencil Operator Mini-App Using Kokkos and SYCL.
Proceedings of the 2019 IEEE/ACM International Workshop on Performance, 2019

Comparing Managed Memory and ATS with and without Prefetching on NVIDIA Volta GPUs.
Proceedings of the 2019 IEEE/ACM Performance Modeling, 2019

Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction.
Proceedings of the International Conference for High Performance Computing, 2019

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

Preparing NERSC users for Cori, a Cray XC40 system with Intel many integrated cores.
Concurr. Comput. Pract. Exp., 2018

Evaluating the networking characteristics of the Cray XC-40 Intel Knights Landing-based Cori supercomputer at NERSC.
Concurr. Comput. Pract. Exp., 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.
Comput. Phys. Commun., 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. Phys., 2015

Lessons Learned from Optimizing Science Kernels for Intel's "Knights Corner"' Architecture.
Comput. Sci. Eng., 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.
Comput. Phys. Commun., 2012


  Loading...