1 citations · 2 across the 3 of their papers we have counts for
4 papers · 1 filter
An HPC Approach to Accelerate Tensor Decompositions
Markus Hellgren, Erna Begovic Kovac, Hans O. Karlsson +1
Quantum systems grow in complexity so rapidly that even modest models become difficult to simulate, creating a strong need for methods that can handle high-dimensional data, also k…
Efficient and Eventually Consistent Collective Operations
Roman Iakymchuk, Amandio Faustino, Andrew Emerson +4
Collective operations are common features of parallel programming models that are frequently used in High-Performance (HPC) and machine/ deep learning (ML/ DL) applications. In str…
Reproducibility of Parallel Preconditioned Conjugate Gradient in Hybrid Programming Environments
Roman Iakymchuk, Maria Barreda, Stef Graillat +2
The Preconditioned Conjugate Gradient method is often employed for the solution of linear systems of equations arising in numerical simulations of physical phenomena. While being w…
White Paper from Workshop on Large-scale Parallel Numerical Computing Technology (LSPANC 2020): HPC and Computer Arithmetic toward Minimal-Precision Computing
Roman Iakymchuk, Daichi Mukunoki, Artur Podobas +15
In numerical computations, precision of floating-point computations is a key factor to determine the performance (speed and energy-efficiency) as well as the reliability (accuracy…