Jack Deslippe

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 42

Top Topics

Scientific Data

Top Venues

Concurr. Comput. Pract. Exp.

Publications

Thomas M. Evans, Andrew R. Siegel, Erik W. Draeger, Jack Deslippe, Marianne M. Francois, Timothy C. Germann, William E. Hart, Daniel F. Martin
A survey of software implementations used by application codes in the Exascale Computing Project. Int. J. High Perform. Comput. Appl. 36 (1) (2022)
Michael E. Rowan, Axel Huebl, Kevin N. Gott, Jack Deslippe, Maxence Thévenet, Rémi Lehe, Jean-Luc Vay
In-Situ Assessment of Device-Side Compute Work for Dynamic Load Balancing in a GPU-Accelerated PIC Code. CoRR (2021)
Muaaz Gul Awan, Steven A. Hofmeyr, Rob Egan, Nan Ding, Aydin Buluç, Jack Deslippe, Leonid Oliker, Katherine A. Yelick
metagenome assembly using GPUs. SC (2021)
Michael E. Rowan, Kevin N. Gott, Jack Deslippe, Axel Huebl, Maxence Thévenet, Rémi Lehe, Jean-Luc Vay
In-situ assessment of device-side compute work for dynamic load balancing in a GPU-accelerated PIC code. PASC (2021)
Muhammad Haseeb, Nan Ding, Jack Deslippe, Muaaz Gul Awan
Evaluating Performance and Portability of a core bioinformatics kernel on multiple vendor GPUs. P3HPC@SC (2021)
Rahulkumar Gayatri, Stan G. Moore, Evan Weinberg, Nicholas Lubbers, Sarah Anderson, Jack Deslippe, Danny Perez, Aidan P. Thompson
Rapid Exploration of Optimization Strategies on Advanced Architectures using TestSNAP and LAMMPS. CoRR (2020)
Muaaz G. Awan, Jack Deslippe, Aydin Buluç, Oguz Selvitopi, Steven A. Hofmeyr, Leonid Oliker, Katherine A. Yelick
ADEPT: a domain independent sequence alignment strategy for gpu architectures. BMC Bioinform. 21 (1) (2020)
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, Gian-Marco Rignanese, Jack Deslippe, Steven G. Louie, Jeffrey B. Neaton
Reproducibility in G0W0 calculations for solids. Comput. Phys. Commun. 255 (2020)
Jonathan R. Madsen, Muaaz G. Awan, Hugo Brunie, Jack Deslippe, Rahulkumar Gayatri, Leonid Oliker, Yunsong Wang, Charlene Yang, Samuel Williams
Timemory: Modular Performance Analysis for HPC. ISC (2020)
Mauro Del Ben, Charlene Yang, Zhenglu Li, Felipe H. da Jornada, Steven G. Louie, Jack Deslippe
Accelerating large-scale excited-state GW calculations on leadership HPC systems. SC (2020)
Neil A. Mehta, Rahulkumar Gayatri, Yasaman Ghadar, Christopher Knight, Jack Deslippe
Evaluating Performance Portability of OpenMP for SNAP on NVIDIA, Intel, and AMD GPUs Using the Roofline Methodology. WACCPD@SC (2020)
Bálint Joó, Thorsten Kurth, Michael A. Clark, Jeongnim Kim, Christian Robert Trott, Dan Ibanez, Daniel Sunderland, Jack Deslippe
Performance Portability of a Wilson Dslash Stencil Operator Mini-App Using Kokkos and SYCL. P3HPC@SC (2019)
Mauro Del Ben, Felipe H. da Jornada, Andrew Canning, Nathan Wichmann, Karthik Raman, Ruchira Sasanka, Chao Yang, Steven G. Louie, Jack Deslippe
Large-scale GW calculations on pre-exascale HPC systems. Comput. Phys. Commun. 235 (2019)
Yan Zhang, Steve Farrell, Michael Crowley, Lee Makowski, Jack Deslippe
A Molecular-MNIST Dataset for Machine Learning Study on Diffraction Imaging and Microscopy. CoRR (2019)
Xiao Wang, Venkatesh Sridhar, Zahra Ronaghi, Rollin C. Thomas, Jack Deslippe, Dilworth Parkinson, Gregery T. Buzzard, Samuel P. Midkiff, Charles A. Bouman, Simon K. Warfield
Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction. SC (2019)
Rahulkumar Gayatri, Kevin Gott, Jack Deslippe
Comparing Managed Memory and ATS with and without Prefetching on NVIDIA Volta GPUs. PMBS@SC (2019)
Brandon Cook, Thorsten Kurth, Jack Deslippe, Pierre Carrier, Nick Hill, Nathan Wichmann
Eigensolver performance comparison on Cray XC systems. Concurr. Comput. Pract. Exp. 31 (16) (2019)
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
Exascale deep learning for climate analytics. SC (2018)
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
Exascale Deep Learning for Climate Analytics. CoRR (2018)
Douglas Doerfler, Brian Austin, Brandon Cook, Jack Deslippe, Krishna Kandalla, Peter Mendygral
Evaluating the networking characteristics of the Cray XC-40 Intel Knights Landing-based Cori supercomputer at NERSC. Concurr. Comput. Pract. Exp. 30 (1) (2018)
Yun (Helen) He, Brandon Cook, Jack Deslippe, Brian Friesen, Richard A. Gerber, Rebecca Hartman-Baker, Alice Koniges, Thorsten Kurth, Stephen Leak, Woo-Sun Yang, Zhengji Zhao, Eddie Baron, Peter Hauschildt
Preparing NERSC users for Cori, a Cray XC40 system with Intel many integrated cores. Concurr. Comput. Pract. Exp. 30 (1) (2018)
Brian Austin, Christopher S. Daley, Douglas Doerfler, Jack Deslippe, Brandon Cook, Brian Friesen, Thorsten Kurth, Charlene Yang, Nicholas J. Wright
A Metric for Evaluating Supercomputer Performance in the Era of Extreme Heterogeneity. PMBS@SC (2018)
Rahulkumar Gayatri, Charlene Yang, Thorsten Kurth, Jack Deslippe
A Case Study for Performance Portability Using OpenMP 4.5. WACCPD@SC (2018)
Tuomas Koskela, Zakhar Matveev, Charlene Yang, Adetokunbo Adedoyin, Roman Belenov, Philippe Thierry, Zhengji Zhao, Rahulkumar Gayatri, Hongzhang Shan, Leonid Oliker, Jack Deslippe, Ron Green, Samuel Williams
A Novel Multi-level Integrated Roofline Model Approach for Performance Characterization. ISC (2018)
Brandon Cook, Charlene Yang, Thorsten Kurth, Jack Deslippe
Sparse CSB_Coo Matrix-Vector and Matrix-Matrix Performance on Intel Xeon Architectures. ISC Workshops (2018)
Meiyue Shao, Felipe H. da Jornada, Lin Lin, Chao Yang, Jack Deslippe, Steven G. Louie
A Structure Preserving Lanczos Algorithm for Computing the Optical Absorption Spectrum. SIAM J. Matrix Anal. Appl. 39 (2) (2018)
Taylor Barnes, Thorsten Kurth, Pierre Carrier, Nathan Wichmann, David Prendergast, Paul R. C. Kent, Jack Deslippe
Improved treatment of exact exchange in Quantum ESPRESSO. Comput. Phys. Commun. 214 (2017)
Thorsten Kurth, William Arndt, Taylor Barnes, Brandon Cook, Jack Deslippe, Douglas Doerfler, Brian Friesen, Yun (Helen) He, Tuomas Koskela, Mathieu Lobet, Tareq M. Malas, Leonid Oliker, Andrey Ovsyannikov, Samuel Williams, Woo-Sun Yang, Zhengji Zhao
Analyzing Performance of Selected NESAP Applications on the Cori HPC System. ISC Workshops (2017)
Brandon Cook, Thorsten Kurth, Brian Austin, Samuel Williams, Jack Deslippe
Performance Variability on Xeon Phi. ISC Workshops (2017)
Thorsten Kurth, Jian Zhang, Nadathur Satish, Evan Racah, Ioannis Mitliagkas, Md. Mostofa Ali Patwary, Tareq M. Malas, Narayanan Sundaram, Wahid Bhimji, Mikhail Smorkalov, Jack Deslippe, Mikhail Shiryaev, Srinivas Sridharan, Prabhat, Pradeep Dubey
Deep learning at 15PF: supervised and semi-supervised classification for scientific data. SC (2017)
Zahra Ronaghi, Rollin C. Thomas, Jack Deslippe, Stephen Bailey, Doga Gürsoy, Theodore Kisner, Reijo Keskitalo, Julian Borrill
Python in the NERSC Exascale Science Applications Program for Data. PyHPC@SC (2017)
Brian Friesen, Md. Mostofa Ali Patwary, Brian Austin, Nadathur Satish, Zachary Slepian, Narayanan Sundaram, Deborah Bard, Daniel J. Eisenstein, Jack Deslippe, Pradeep Dubey, Prabhat
Galactos: computing the anisotropic 3-point correlation function for 2 billion galaxies. SC (2017)
Brian Friesen, Md. Mostofa Ali Patwary, Brian Austin, Nadathur Satish, Zachary Slepian, Narayanan Sundaram, Deborah Bard, Daniel J. Eisenstein, Jack Deslippe, Pradeep Dubey, Prabhat
Galactos: Computing the Anisotropic 3-Point Correlation Function for 2 Billion Galaxies. CoRR (2017)
Tuomas Koskela, Jack Deslippe
Optimizing Fusion PIC Code Performance at Scale on Cori Phase Two. ISC Workshops (2017)
Thorsten Kurth, Jian Zhang, Nadathur Satish, Ioannis Mitliagkas, Evan Racah, Md. Mostofa Ali Patwary, Tareq M. Malas, Narayanan Sundaram, Wahid Bhimji, Mikhail Smorkalov, Jack Deslippe, Mikhail Shiryaev, Srinivas Sridharan, Prabhat, Pradeep Dubey
Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data. CoRR (2017)
Jack Deslippe, Felipe H. da Jornada, Derek Vigil-Fowler, Taylor Barnes, Nathan Wichmann, Karthik Raman, Ruchira Sasanka, Steven G. Louie
Optimizing Excited-State Electronic-Structure Codes for Intel Knights Landing: A Case Study on the BerkeleyGW Software. ISC Workshops (2016)
Douglas Doerfler, Jack Deslippe, Samuel Williams, Leonid Oliker, Brandon Cook, Thorsten Kurth, Mathieu Lobet, Tareq M. Malas, Jean-Luc Vay, Henri Vincenti
Applying the Roofline Performance Model to the Intel Xeon Phi Knights Landing Processor. ISC Workshops (2016)
Alice Koniges, Brandon Cook, Jack Deslippe, Thorsten Kurth, Hongzhang Shan
MPI usage at NERSC: Present and Future. EuroMPI (2016)
Tareq M. Malas, Thorsten Kurth, Jack Deslippe
Optimization of the Sparse Matrix-Vector Products of an IDR Krylov Iterative Solver in EMGeo for the Intel KNL Manycore Processor. ISC Workshops (2016)
Taylor Barnes, Brandon Cook, Jack Deslippe, Douglas Doerfler, Brian Friesen, Yun (Helen) He, Thorsten Kurth, Tuomas Koskela, Mathieu Lobet, Tareq M. Malas, Leonid Oliker, Andrey Ovsyannikov, Abhinav Sarje, Jean-Luc Vay, Henri Vincenti, Samuel Williams, Pierre Carrier, Nathan Wichmann, Marcus Wagner, Paul R. C. Kent, Christopher Kerr, John M. Dennis
Evaluating and Optimizing the NERSC Workload on Knights Landing. PMBS@SC (2016)
S. V. Venkatakrishnan, 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, James A. Sethian, Rune Stromsness, Brian L. Tierney, Craig E. Tull, Daniela Ushizima, Dilworth Y. Parkinson
Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible. Computational Imaging (2016)
Zhaoyi Meng, Alice Koniges, Yun (Helen) He, Samuel Williams, Thorsten Kurth, Brandon Cook, Jack Deslippe, Andrea L. Bertozzi
OpenMP Parallelization and Optimization of Graph-Based Machine Learning Algorithms. IWOMP (2016)
Jack Deslippe, Brian Austin, Christopher S. Daley, Woo-Sun Yang
Lessons Learned from Optimizing Science Kernels for Intel's "Knights Corner"' Architecture. Comput. Sci. Eng. 17 (3) (2015)
Fang Liu, Lin Lin, Derek Vigil-Fowler, Johannes Lischner, Alexander F. Kemper, Sahar Sharifzadeh, Felipe H. da Jornada, Jack Deslippe, Chao Yang, Jeffrey B. Neaton, Steven G. Louie
Numerical integration for ab initio many-electron self energy calculations within the GW approximation. J. Comput. Phys. 286 (2015)
Jack Deslippe, Abdelilah Essiari, Simon J. Patton, Taghrid Samak, Craig E. Tull, Alexander Hexemer, Dinesh Kumar, Dilworth Parkinson, Polite Stewart
Workflow management for real-time analysis of lightsource experiments. WORKS@SC (2014)
Sudip S. Dosanjh, Shane Canon, Jack Deslippe, Kjiersten Fagnan, Richard A. Gerber, Lisa Gerhardt, Jason Hick, Douglas Jacobsen, David Skinner, Nicholas J. Wright
Extreme Data Science at the National Energy Research Scientific Computing (NERSC) Center. PARCO (2013)
Jack Deslippe, Georgy Samsonidze, David A. Strubbe, Manish Jain, Marvin L. Cohen, Steven G. Louie
BerkeleyGW: A massively parallel computer package for the calculation of the quasiparticle and optical properties of materials and nanostructures. Comput. Phys. Commun. 183 (6) (2012)