most citedEnabling particle applications for exascale computing platforms

29 citations · 34 across the 3 of their papers we have counts for

collaborators

5 papers

cs.DC202129 cited

Enabling particle applications for exascale computing platforms

Susan M Mniszewski, James Belak, Jean-Luc Fattebert +21

The Exascale Computing Project (ECP) is invested in co-design to assure that key applications are ready for exascale computing. Within ECP, the Co-design Center for Particle Applic…

math.NA2021

QDOT: Quantized Dot Product Kernel for Approximate High-Performance Computing

James Diffenderfer, Daniel Osei-Kuffuor, Harshitha Menon

Approximate computing techniques have been successful in reducing computation and power costs in several domains. However, error sensitive applications in high-performance computin…

cs.PF2021

Performance Optimizations of Recursive Electronic Structure Solvers targeting Multi-Core Architectures (LA-UR-20-26665)

Adetokunbo A. Adedoyin, Christian F. A. Negre, Jamaludin Mohd-Yusof +6

As we rapidly approach the frontiers of ultra large computing resources, software optimization is becoming of paramount interest to scientific application developers interested in…

math.NA2021

Multigrid reduction preconditioning framework for coupled processes in porous and fractured media

Quan M. Bui, Francois P. Hamon, Nicola Castelletto +3

Many subsurface engineering applications involve tight-coupling between fluid flow, solid deformation, fracturing, and similar processes. To better understand the complex interplay…

cs.MS20175 cited

xSDK Foundations: Toward an Extreme-scale Scientific Software Development Kit

Roscoe Bartlett, Irina Demeshko, Todd Gamblin +12

Extreme-scale computational science increasingly demands multiscale and multiphysics formulations. Combining software developed by independent groups is imperative: no single team…