activity
20102024
most citedNVIDIA Tensor Core Programmability, Performance & Precision

346 citations · 1.8k across the 82 of their papers we have counts for

collaborators

86 papers

physics.plasm-ph2024★ 2 cited

Characterizing the Performance of the Implicit Massively Parallel Particle-in-Cell iPIC3D Code

Jeremy J. Williams, Daniel Medeiros, Ivy B. Peng +1

Optimizing iPIC3D, an implicit Particle-in-Cell (PIC) code, for large-scale 3D plasma simulations is crucial for space and astrophysical applications. This work focuses on characte…

cs.PF2024★ 6 cited

In-Situ Techniques on GPU-Accelerated Data-Intensive Applications

Yi Ju, Mingshuai Li, Adalberto Perez +5

The computational power of High-Performance Computing (HPC) systems is constantly increasing, however, their input/output (IO) performance grows relatively slowly, and their storag…

cs.PF2024★ 10 cited

Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications

Yi Ju, Adalberto Perez, Stefano Markidis +2

High-Performance Computing (HPC) systems provide input/output (IO) performance growing relatively slowly compared to peak computational performance and have limited storage capacit…

cs.DC2023

Boosting the Performance of Object Tracking with a Half-Precision Particle Filter on GPU

Gabin Schieffer, Nattawat Pornthisan, Daniel Araújo de Medeiros +3

High-performance GPU-accelerated particle filter methods are critical for object detection applications, ranging from autonomous driving, robot localization, to time-series predict…

math.OC2023

Krylov Solvers for Interior Point Methods with Applications in Radiation Therapy and Support Vector Machines

Felix Liu, Albin Fredriksson, Stefano Markidis

Interior point methods are widely used for different types of mathematical optimization problems. Many implementations of interior point methods in use today rely on direct linear…

math.NA2023

Anderson Accelerated PMHSS for Complex-Symmetric Linear Systems

Måns I. Andersson, Felix Liu, Stefano Markidis

This paper presents the design and development of an Anderson Accelerated Preconditioned Modified Hermitian and Skew-Hermitian Splitting (AA-PMHSS) method for solving complex-symme…