54 citations · 115 across the 20 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
Leveraging MLIR for Loop Vectorization and GPU Porting of FFT Libraries
Yifei He, Artur Podobas, Stefano Markidis
FFTc is a Domain-Specific Language (DSL) for designing and generating Fast Fourier Transforms (FFT) libraries. The FFTc uniqueness is that it leverages and extend Multi-Level Inter…
Quantum Computer Simulations at Warp Speed: Assessing the Impact of GPU Acceleration
Jennifer Faj, Ivy Peng, Jacob Wahlgren +1
Quantum computer simulators are crucial for the development of quantum computing. In this work, we investigate the suitability and performance impact of GPU and multi-GPU systems o…
Leveraging HPC Profiling & Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations
Jeremy J. Williams, David Tskhakaya, Stefan Costea +3
Large-scale plasma simulations are critical for designing and developing next-generation fusion energy devices and modeling industrial plasmas. BIT1 is a massively parallel Particl…