6 citations · 11 across the 5 of their papers we have counts for
7 papers
Fast Arbitrary Precision Floating Point on FPGA
Johannes de Fine Licht, Christopher A. Pattison, Alexandros Nikolaos Ziogas +2
Numerical codes that require arbitrary precision floating point (APFP) numbers for their core computation are dominated by elementary arithmetic operations due to the super-linear…
Pebbles, Graphs, and a Pinch of Combinatorics: Towards Tight I/O Lower Bounds for Statically Analyzable Programs
Grzegorz Kwasniewski, Tal Ben-Nun, Lukas Gianinazzi +5
Determining I/O lower bounds is a crucial step in obtaining communication-efficient parallel algorithms, both across the memory hierarchy and between processors. Current approaches…
On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization
Grzegorz Kwasniewski, Tal Ben-Nun, Alexandros Nikolaos Ziogas +3
Dense linear algebra kernels, such as linear solvers or tensor contractions, are fundamental components of many scientific computing applications. In this work, we present a novel…
A Data-Centric Approach to Extreme-Scale Ab initio Dissipative Quantum Transport Simulations
Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández +3
The computational efficiency of a state of the art ab initio quantum transport (QT) solver, capable of revealing the coupled electro-thermal properties of atomically-resolved nano-…
Optimizing the Data Movement in Quantum Transport Simulations via Data-Centric Parallel Programming
Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández +3
Designing efficient cooling systems for integrated circuits (ICs) relies on a deep understanding of the electro-thermal properties of transistors. To shed light on this issue in cu…
Stateful Dataflow Multigraphs: A Data-Centric Model for Performance Portability on Heterogeneous Architectures
Tal Ben-Nun, Johannes de Fine Licht, Alexandros Nikolaos Ziogas +2
The ubiquity of accelerators in high-performance computing has driven programming complexity beyond the skill-set of the average domain scientist. To maintain performance portabili…