BerkeleyGW: A massively parallel computer package for the calculation of the quasiparticle and optical properties of materials and nanostructures. - Jack Deslippe; Georgy Samsonidze; David A. Strubbe; Manish Jain; Marvin L. Cohen; Steven G. Louie (Comput. Phys. Commun., 2012)

Extreme Data Science at the National Energy Research Scientific Computing (NERSC) Center. - Sudip S. Dosanjh; Shane Canon; Jack Deslippe; Kjiersten Fagnan; Richard A. Gerber; Lisa Gerhardt; Jason Hick; Douglas Jacobsen; David Skinner; Nicholas J. Wright (PARCO, 2013)

Workflow management for real-time analysis of lightsource experiments. - Jack Deslippe; Abdelilah Essiari; Simon J. Patton; Taghrid Samak; Craig E. Tull; Alexander Hexemer; Dinesh Kumar; Dilworth Parkinson; Polite Stewart (WORKS@SC, 2014)

Lessons Learned from Optimizing Science Kernels for Intel's "Knights Corner"' Architecture. - Jack Deslippe; Brian Austin; Christopher S. Daley; Woo-Sun Yang (Comput. Sci. Eng., 2015)

Numerical integration for ab initio many-electron self energy calculations within the GW approximation. - Fang Liu; Lin Lin 001; Derek Vigil-Fowler; Johannes Lischner; Alexander F. Kemper; Sahar Sharifzadeh; Felipe H. da Jornada; Jack Deslippe; Chao Yang 001; Jeffrey B. Neaton; Steven G. Louie (J. Comput. Phys., 2015)

Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible. - S. V. Venkatakrishnan 001; K. Aditya Mohan; Keith Beattie; Joaquin Correa; Eli Dart; Jack Deslippe; Alexander Hexemer; Harinarayan Krishnan; Alastair A. MacDowell; Stefano Marchesini; Simon J. Patton; Talita Perciano; et al. (Computational Imaging, 2016)

OpenMP Parallelization and Optimization of Graph-Based Machine Learning Algorithms. - Zhaoyi Meng; Alice Koniges; Yun (Helen) He; Samuel Williams 001; Thorsten Kurth; Brandon Cook 001; Jack Deslippe; Andrea L. Bertozzi (IWOMP, 2016)

MPI usage at NERSC: Present and Future. - Alice Koniges; Brandon Cook 001; Jack Deslippe; Thorsten Kurth; Hongzhang Shan (EuroMPI, 2016)

Evaluating and Optimizing the NERSC Workload on Knights Landing. - Taylor Barnes; Brandon Cook 001; Jack Deslippe; Douglas Doerfler; Brian Friesen; Yun (Helen) He; Thorsten Kurth; Tuomas Koskela; Mathieu Lobet; Tareq M. Malas; Leonid Oliker; Andrey Ovsyannikov; et al. (PMBS@SC, 2016)

Optimizing Excited-State Electronic-Structure Codes for Intel Knights Landing: A Case Study on the BerkeleyGW Software. - Jack Deslippe; Felipe H. da Jornada; Derek Vigil-Fowler; Taylor Barnes; Nathan Wichmann; Karthik Raman; Ruchira Sasanka; Steven G. Louie (ISC Workshops, 2016)

Applying the Roofline Performance Model to the Intel Xeon Phi Knights Landing Processor. - Douglas Doerfler; Jack Deslippe; Samuel Williams 001; Leonid Oliker; Brandon Cook 001; Thorsten Kurth; Mathieu Lobet; Tareq M. Malas; Jean-Luc Vay; Henri Vincenti (ISC Workshops, 2016)

Optimization of the Sparse Matrix-Vector Products of an IDR Krylov Iterative Solver in EMGeo for the Intel KNL Manycore Processor. - Tareq M. Malas; Thorsten Kurth; Jack Deslippe (ISC Workshops, 2016)

Galactos: computing the anisotropic 3-point correlation function for 2 billion galaxies. - Brian Friesen; Md. Mostofa Ali Patwary; Brian Austin; Nadathur Satish; Zachary Slepian; Narayanan Sundaram; Deborah Bard; Daniel J. Eisenstein; Jack Deslippe; Pradeep Dubey; Prabhat (SC, 2017)

Deep learning at 15PF: supervised and semi-supervised classification for scientific data. - Thorsten Kurth; Jian Zhang 049; Nadathur Satish; Evan Racah; Ioannis Mitliagkas; Md. Mostofa Ali Patwary; Tareq M. Malas; Narayanan Sundaram; Wahid Bhimji; Mikhail Smorkalov; Jack Deslippe; Mikhail Shiryaev; et al. (SC, 2017)

Python in the NERSC Exascale Science Applications Program for Data. - Zahra Ronaghi; Rollin C. Thomas; Jack Deslippe; Stephen Bailey; Doga Gürsoy; Theodore Kisner; Reijo Keskitalo; Julian Borrill (PyHPC@SC, 2017)

Performance Variability on Xeon Phi. - Brandon Cook 001; Thorsten Kurth; Brian Austin; Samuel Williams 001; Jack Deslippe (ISC Workshops, 2017)

Optimizing Fusion PIC Code Performance at Scale on Cori Phase Two. - Tuomas Koskela; Jack Deslippe (ISC Workshops, 2017)

Analyzing Performance of Selected NESAP Applications on the Cori HPC System. - Thorsten Kurth; William Arndt; Taylor Barnes; Brandon Cook 001; Jack Deslippe; Douglas Doerfler; Brian Friesen; Yun (Helen) He; Tuomas Koskela; Mathieu Lobet; Tareq M. Malas; Leonid Oliker; et al. (ISC Workshops, 2017)

Improved treatment of exact exchange in Quantum ESPRESSO. - Taylor Barnes; Thorsten Kurth; Pierre Carrier; Nathan Wichmann; David Prendergast 002; Paul R. C. Kent; Jack Deslippe (Comput. Phys. Commun., 2017)

A Metric for Evaluating Supercomputer Performance in the Era of Extreme Heterogeneity. - Brian Austin; Christopher S. Daley; Douglas Doerfler; Jack Deslippe; Brandon Cook 001; Brian Friesen; Thorsten Kurth; Charlene Yang; Nicholas J. Wright (PMBS@SC, 2018)

A Case Study for Performance Portability Using OpenMP 4.5. - Rahulkumar Gayatri; Charlene Yang; Thorsten Kurth; Jack Deslippe (WACCPD@SC, 2018)

Exascale deep learning for climate analytics. - Thorsten Kurth; Sean Treichler; Joshua Romero; Mayur Mudigonda; Nathan Luehr; Everett H. Phillips; Ankur Mahesh; Michael A. Matheson; Jack Deslippe; Massimiliano Fatica; Prabhat; Michael Houston (SC, 2018)

Sparse CSB_Coo Matrix-Vector and Matrix-Matrix Performance on Intel Xeon Architectures. - Brandon Cook 001; Charlene Yang; Thorsten Kurth; Jack Deslippe (ISC Workshops, 2018)

A Novel Multi-level Integrated Roofline Model Approach for Performance Characterization. - Tuomas Koskela; Zakhar Matveev; Charlene Yang; Adetokunbo Adedoyin; Roman Belenov; Philippe Thierry; Zhengji Zhao; Rahulkumar Gayatri; Hongzhang Shan; Leonid Oliker; Jack Deslippe; Ron Green; et al. (ISC, 2018)

Evaluating the networking characteristics of the Cray XC-40 Intel Knights Landing-based Cori supercomputer at NERSC. - Douglas Doerfler; Brian Austin; Brandon Cook 001; Jack Deslippe; Krishna Kandalla; Peter Mendygral (Concurr. Comput. Pract. Exp., 2018)

Preparing NERSC users for Cori, a Cray XC40 system with Intel many integrated cores. - Yun (Helen) He; Brandon Cook 001; Jack Deslippe; Brian Friesen; Richard A. Gerber; Rebecca Hartman-Baker; Alice Koniges; Thorsten Kurth; Stephen Leak; Woo-Sun Yang; Zhengji Zhao; Eddie Baron; et al. (Concurr. Comput. Pract. Exp., 2018)

A Structure Preserving Lanczos Algorithm for Computing the Optical Absorption Spectrum. - Meiyue Shao; Felipe H. da Jornada; Lin Lin 001; Chao Yang 001; Jack Deslippe; Steven G. Louie (SIAM J. Matrix Anal. Appl., 2018)

Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction. - Xiao Wang 004; Venkatesh Sridhar; Zahra Ronaghi; Rollin C. Thomas; Jack Deslippe; Dilworth Parkinson; Gregery T. Buzzard; Samuel P. Midkiff; Charles A. Bouman; Simon K. Warfield (SC, 2019)

Comparing Managed Memory and ATS with and without Prefetching on NVIDIA Volta GPUs. - Rahulkumar Gayatri; Kevin Gott; Jack Deslippe (PMBS@SC, 2019)

Performance Portability of a Wilson Dslash Stencil Operator Mini-App Using Kokkos and SYCL. - Bálint Joó; Thorsten Kurth; Michael A. Clark; Jeongnim Kim; Christian Robert Trott; Dan Ibanez; Daniel Sunderland; Jack Deslippe (P3HPC@SC, 2019)

Eigensolver performance comparison on Cray XC systems. - Brandon Cook 001; Thorsten Kurth; Jack Deslippe; Pierre Carrier; Nick Hill; Nathan Wichmann (Concurr. Comput. Pract. Exp., 2019)

A Molecular-MNIST Dataset for Machine Learning Study on Diffraction Imaging and Microscopy. - Yan Zhang; Steve Farrell; Michael Crowley; Lee Makowski; Jack Deslippe (CoRR, 2019)

Large-scale GW calculations on pre-exascale HPC systems. - Mauro Del Ben; Felipe H. da Jornada; Andrew Canning; Nathan Wichmann; Karthik Raman; Ruchira Sasanka; Chao Yang 001; Steven G. Louie; Jack Deslippe (Comput. Phys. Commun., 2019)

Accelerating large-scale excited-state GW calculations on leadership HPC systems. - Mauro Del Ben; Charlene Yang; Zhenglu Li; Felipe H. da Jornada; Steven G. Louie; Jack Deslippe (SC, 2020)

Evaluating Performance Portability of OpenMP for SNAP on NVIDIA, Intel, and AMD GPUs Using the Roofline Methodology. - Neil A. Mehta; Rahulkumar Gayatri; Yasaman Ghadar; Christopher Knight 001; Jack Deslippe (WACCPD@SC, 2020)

Timemory: Modular Performance Analysis for HPC. - Jonathan R. Madsen; Muaaz G. Awan; Hugo Brunie; Jack Deslippe; Rahulkumar Gayatri; Leonid Oliker; Yunsong Wang; Charlene Yang; Samuel Williams 001 (ISC, 2020)

ADEPT: a domain independent sequence alignment strategy for gpu architectures. - Muaaz G. Awan; Jack Deslippe; Aydin Buluç; Oguz Selvitopi; Steven A. Hofmeyr; Leonid Oliker; Katherine A. Yelick (BMC Bioinform., 2020)

Rapid Exploration of Optimization Strategies on Advanced Architectures using TestSNAP and LAMMPS. - Rahulkumar Gayatri; Stan G. Moore; Evan Weinberg; Nicholas Lubbers; Sarah Anderson; Jack Deslippe; Danny Perez; Aidan P. Thompson (CoRR, 2020)

Reproducibility in G0W0 calculations for solids. - Tonatiuh Rangel; Mauro Del Ben; Daniele Varsano; Gabriel Antonius; Fabien Bruneval; Felipe H. da Jornada; Michiel J. van Setten; Okan K. Orhan; David D. O'Regan; Andrew Canning; Andrea Ferretti; Andrea Marini 002; et al. (Comput. Phys. Commun., 2020)

An efficient fault-tolerant communication algorithm for population-based metaheuristics. - Amanda S. Dufek; Douglas Adriano Augusto; Helio J. C. Barbosa; Pedro L. S. Dias; Jack R. Deslippe (GECCO Companion, 2021)

Evaluating Performance and Portability of a core bioinformatics kernel on multiple vendor GPUs. - Muhammad Haseeb; Nan Ding 006; Jack Deslippe; Muaaz Gul Awan (P3HPC@SC, 2021)

In-situ assessment of device-side compute work for dynamic load balancing in a GPU-accelerated PIC code. - Michael E. Rowan; Kevin N. Gott; Jack Deslippe; Axel Huebl; Maxence Thévenet; Rémi Lehe; Jean-Luc Vay (PASC, 2021)

An Extended Roofline Performance Model with PCI-E and Network Ceilings. - Amanda S. Dufek; Jack R. Deslippe; Paul T. Lin; Charlene J. Yang; Brandon G. Cook; Jonathan Madsen (PMBS, 2021)

Accelerating large scale de novo metagenome assembly using GPUs. - Muaaz Gul Awan; Steven A. Hofmeyr; Rob Egan; Nan Ding 006; Aydin Buluç; Jack Deslippe; Leonid Oliker; Katherine A. Yelick (SC, 2021)

A survey of software implementations used by application codes in the Exascale Computing Project. - Thomas M. Evans 001; Andrew R. Siegel; Erik W. Draeger; Jack Deslippe; Marianne M. Francois; Timothy C. Germann; William E. Hart; Daniel F. Martin (Int. J. High Perform. Comput. Appl., 2022)

Optimizing MILC-Dslash Performance on NVIDIA A100 GPU: Parallel Strategies using SYCL. - Amanda S. Dufek; Steven A. Gottlieb; Muaaz Gul Awan; Douglas Adriano Augusto; Jack Deslippe; Brandon Cook 001 (SC Workshops, 2024)

Performance Modeling and Analysis of a de Bruijn Graph Based Local Assembly Kernel on Multiple Vendor GPUs. - LeAnn M. Lindsey; Nan Ding 006; Jack Deslippe; Muaaz Awan (SC Workshops, 2024)

An Efficient GPU Parallelization Strategy for Binary Collisions in Particle-In-Cell Plasma Simulations. - Rémi Lehe; Muhammad Haseeb; Justin Ray Angus; David P. Grote; Roelof Groenewald; Arianna Formenti; Axel Huebl; Jack Deslippe; Jean-Luc Vay (PASC, 2025)

GPU acceleration of non-equilibrium Green's function calculation using OpenACC and CUDA FORTRAN. - Jia Yin; Khaled Z. Ibrahim; Mauro Del Ben; Jack Deslippe; Yang-hao Chan; Chao Yang 001 (CoRR, 2025)