Thomas C. Schulthess

发表

DCA++: A case for science driven application development for leadership computing platforms

Jeremy S. Meredith, Michael S. Summers, Gonzalo Alvarez, 2009 .

Model-Driven Choice of Numerical Methods for the Solution of the Linear Advection Equation

Torsten Hoefler, Thomas C. Schulthess, Andrea Arteaga, 2017, ICCS.

Accuracy and performance of graphics processors: A Quantum Monte Carlo application case study

Jeffrey S. Vetter, Thomas A. Maier, Jeremy S. Meredith, 2009, Parallel Comput..

SimFS: A Simulation Data Virtualizing File System Interface

Torsten Hoefler, Thomas C. Schulthess, Salvatore Di Girolamo, 2019, 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

Early experiences with scientific applications on the IBM Blue Gene/Q supercomputer

Sadaf R. Alam, Gilles Fourestey, Bernd Mohr, 2013, IBM J. Res. Dev..

Reflecting on the Goal and Baseline for Exascale Computing: A Roadmap Based on Weather and Climate Simulations

Torsten Hoefler, Peter Bauer, Thomas C. Schulthess, 2019, Computing in Science & Engineering.

Taking a quantum leap in time to solution for simulations of high-Tc superconductors

Gilles Fourestey, Thomas A. Maier, Michael S. Summers, 2013, 2013 SC - International Conference for High Performance Computing, Networking, Storage and Analysis (SC).

STELLA: a domain-specific tool for structured grid methods in weather and climate models

Tobias Gysi, Mauro Bianco, Thomas C. Schulthess, 2015, SC15: International Conference for High Performance Computing, Networking, Storage and Analysis.

A Fast Scalable Implicit Solver for Nonlinear Time-Evolution Earthquake City Problem on Low-Ordered Unstructured Finite Elements with Artificial Intelligence and Transprecision Computing

Tjerk P. Straatsma, Tsuyoshi Ichimura, Kohei Fujita, 2018, SC18: International Conference for High Performance Computing, Networking, Storage and Analysis.

Towards a performance portable, architecture agnostic implementation strategy for weather and climate models

Tobias Gysi, Mauro Bianco, Thomas C. Schulthess, 2014, Supercomput. Front. Innov..

Multi-teraflops spin dynamics studies of the magnetic structure of FeMn/Co interfaces

Yang Wang, Thomas C. Schulthess, Andrew Canning, 2001, SC.

First Experiences With Validating and Using the Cray Power Management Database Tool pdf

Gilles Fourestey, Thomas C. Schulthess, Ladina Gilly, 2014, ArXiv.

Leading Edge Hybrid Multi-GPU Algorithms for Generalized Eigenproblems in Electronic Structure Calculations

Jack J. Dongarra, Stanimire Tomov, Azzam Haidar, 2013, ISC.

Near-global climate simulation at 1 km resolution: establishing a performance baseline on 4888 GPUs with COSMO 5.0

Torsten Hoefler, Thomas C. Schulthess, Oliver Fuhrer, 2017 .

A PCIe Congestion-Aware Performance Model for Densely Populated Accelerator Servers

Torsten Hoefler, Sadaf R. Alam, Thomas C. Schulthess, 2016, SC16: International Conference for High Performance Computing, Networking, Storage and Analysis.

Data representation and code interoperability for computational materials physics and chemistry

Thomas C. Schulthess, Alberto Garcia, U. del Pais Vasco, 2006 .

A scalable method for ab initio computation of free energies in nanoscale systems

Markus Eisenbach, Thomas C. Schulthess, Jeffrey M. Larkin, 2009, Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis.

RM-Replay: A High-Fidelity Tuning, Optimization and Exploration Tool for Resource Management

Sadaf R. Alam, Colin McMurtrie, Mauro Bianco, 2018, SC18: International Conference for High Performance Computing, Networking, Storage and Analysis.

Tridiagonalization of a dense symmetric matrix on multiple GPUs and its application to symmetric eigenvalue problems

Jack J. Dongarra, Stanimire Tomov, Ichitaro Yamazaki, 2014, Concurr. Comput. Pract. Exp..

Toward material-specific simulations of high temperature superconductivity

Thomas C. Schulthess, 2006, SC.

Kernelling Method for Identifying Near-Native Protein Decoy Structures

Xiuping Tao, Andrew J. Bordner, Thomas C. Schulthess, 2010, BIOCOMP.

Application Centric Energy-Efficiency Study of Distributed Multi-Core and Hybrid CPU-GPU Systems

Gilles Fourestey, Massimiliano Fatica, Tobias Gysi, 2014, SC14: International Conference for High Performance Computing, Networking, Storage and Analysis.

A novel hybrid CPU–GPU generalized eigensolver for electronic structure calculations based on fine-grained memory aware tasks

Jack J. Dongarra, Stanimire Tomov, Azzam Haidar, 2014, Int. J. High Perform. Comput. Appl..

Toward First Principles Electronic Structure Simulations of Excited States and Strong Correlations in Nano- and Materials Science

Thomas C. Schulthess, Anton Kozhevnikov, Adolfo G. Eguiluz, 2010, 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis.

Towards autotuning by alternating communication methods

Sadaf R. Alam, Thomas C. Schulthess, Adrian Tineo, 2011, PMBS '11.

Topic 14+16: High-Performance and Scientific Applications and Extreme-Scale Computing - (Introduction)

John Shalf, David E. Keyes, Sabine Roller, 2013, Euro-Par.

New algorithm to enable 400+ TFlop/s sustained performance in simulations of disorder effects in high-Tc superconductors

John M. Levesque, Thomas A. Maier, Eduardo F. D'Azevedo, 2008, 2008 SC - International Conference for High Performance Computing, Networking, Storage and Analysis.

Porting the COSMO Weather Model to Manycore CPUs

Torsten Hoefler, Lukas Mosimann, Anton Afanasyev, 2019, PASC.

A hybrid Hermitian general eigenvalue solver pdf

Jack J. Dongarra, Stanimire Tomov, Azzam Haidar, 2012, ArXiv.

Efficient implementation of quantum materials simulations on distributed CPU-GPU systems

Jack J. Dongarra, Stanimire Tomov, Azzam Haidar, 2015, SC15: International Conference for High Performance Computing, Networking, Storage and Analysis.

Big data and extreme-scale computing

Franck Cappello, Satoshi Matsuoka, Alexander S. Szalay, 2018, Int. J. High Perform. Comput. Appl..

Human Brain Project: Towards a European infrastructure for brain research

Colin McMurtrie, Anna Lührs, Thomas C. Schulthess, 2016 .

A novel hybrid CPU–GPU generalized eigensolver for electronic structure calculations based on fine-grained memory aware tasks

Jack J. Dongarra, Stanimire Tomov, Azzam Haidar, 2012, 2012 SC Companion: High Performance Computing, Networking Storage and Analysis.

Porting the COSMO dynamical core to heterogeneous platforms using STELLA Library

Tobias Gysi, Thomas C. Schulthess, Oliver Fuhrer, 2015, PARCO.

Poster: A Novel Hybrid CPU-GPU Generalized Eigensolver for Electronic Structure Calculations Based on Fine Grained Memory Aware Tasks

Jack J. Dongarra, Stanimire Tomov, Azzam Haidar, 2012, SC Companion.

GridTools: A framework for portable weather and climate applications

Joost VandeVondele, Mauro Bianco, Thomas C. Schulthess, 2021, SoftwareX.