activity
20162026
most citedDoing Moore with Less -- Leapfrogging Moore's Law with Inexactness for Supercomputing

23 citations · 49 across the 15 of their papers we have counts for

collaborators

16 papers

math.RT2026

Finite Root Sums in Symmetrizable Kac-Moody Algebras

Andrew Douglas

Let be a symmetrizable Kac-Moody algebra with root system . A subset is \emph{closed} if and imply . For finite and a…

physics.ins-det2025

A 28nm Multiply-Accumulate ASIC Architecture for On-Chip Data Compression in MHz Frame Rate X-ray and Electron Pixel Detectors

Rami Rasheedi, Nicholas Contini, Mohamed Adel Gharib +13

Modern X-ray detector systems urgently require compact, efficient, and fast data compression schemes to handle the transmission of big data from pixel arrays, enabling frame rates…

cs.DC2025

THAPI: Tracing Heterogeneous APIs

Solomon Bekele, Aurelio Vivas, Thomas Applencourt +5

As we reach exascale, production High Performance Computing (HPC) systems are increasing in complexity. These systems now comprise multiple heterogeneous computing components (CPUs…

astro-ph.IM2025★ 1 cited

Lossy Compression of Scientific Data: Applications Constrains and Requirements

Franck Cappello, Allison Baker, Ebru Bozda +22

Increasing data volumes from scientific simulations and instruments (supercomputers, accelerators, telescopes) often exceed network, storage, and analysis capabilities. The scienti…

cs.DC2025★ 7 cited

Scalable HPC Job Scheduling and Resource Management in SST

Abubeker Abdurahman, Abrar Hossain, Kevin A Brown +2

Efficient job scheduling and resource management contribute towards system throughput and efficiency maximization in high-performance computing (HPC) systems. In this paper, we int…

cs.AR2024

Educating for Hardware Specialization in the Chiplet Era: A Path for the HPC Community

Kazutomo Yoshii, Mohamed El-Hadedy

The advent of chiplet technology introduces cutting-edge opportunities for constructing highly heterogeneous platforms with specialized accelerators. However, the HPC community cur…

math.NA2024

Homomorphic data compression for real time photon correlation analysis

Sebastian Strempfer, Zichao Wendy Di, Kazutomo Yoshii +8

The construction of highly coherent x-ray sources has enabled new research opportunities across the scientific landscape. The maximum raw data rate per beamline now exceeds 40 GB/s…

cs.DC2024★ 2 cited

A Survey on Error-Bounded Lossy Compression for Scientific Datasets

Sheng Di, Jinyang Liu, Kai Zhao +23

Error-bounded lossy compression has been effective in significantly reducing the data storage/transfer burden while preserving the reconstructed data fidelity very well. Many error…

cs.DC2023

Efficient Algorithms for Monte Carlo Particle Transport on AI Accelerator Hardware

John Tramm, Bryce Allen, Kazutomo Yoshii +2

The recent trend toward deep learning has led to the development of a variety of highly innovative AI accelerator architectures. One such architecture, the Cerebras Wafer-Scale Eng…

physics.ins-det2022★ 13 cited

A lightweight, user-configurable detector ASIC digital architecture with on-chip data compression for MHz X-ray coherent diffraction imaging

Sebastian Strempfer, Tao Zhou, Kazutomo Yoshii +6

Today, most X-ray pixel detectors used at light sources transmit raw pixel data off the detector ASIC. With the availability of more advanced ASIC technology nodes for scientific a…

physics.ins-det2022

Pushing compute and AI onto detector silicon

Antonino Miceli, Kazutomo Yoshii, Ian T. Foster

In order to take full advantage of the U.S. Department of Energy's billion-dollar investments into the next-generation research infrastructure (e.g., exascale, light sources, colli…

cs.SE2021★ 1 cited

What Does the Post-Moore Era Mean for Research Software Engineering?

Kazutomo Yoshii

We are entering the post-Moore era where we no longer enjoy the free ride of the performance growth from simply shrinking the transistor features. However, this does not necessaril…

physics.ins-det2021★ 1 cited

A Hardware Co-design Workflow for Scientific Instruments at the Edge

Kazutomo Yoshii, Rajesh Sankaran, Sebastian Strempfer +3

As spatial and temporal resolutions of scientific instruments improve, the explosion in the volume of data produced is becoming a key challenge. It can be a critical bottleneck for…

physics.ins-det2021

Designing a Streaming Data Coalescing Architecture for Scientific Detector ASICs with Variable Data Velocity

Sebastian Strempfer, Kazutomo Yoshii, Mike Hammer +2

Scientific detectors are a key technological enabler for many disciplines. Application-specific integrated circuits (ASICs) are used for many of these scientific detectors. Until r…

cs.DC2019★ 1 cited

Improving the scalabiliy of neutron cross-section lookup codes on multicore NUMA system

Kazutomo Yoshii, John Tramm, Andrew Siegel +1

We use the XSBench proxy application, a memory-intensive OpenMP program, to explore the source of on-node scalability degradation of a popular Monte Carlo (MC) reactor physics benc…

cs.OH2016★ 23 cited

Doing Moore with Less -- Leapfrogging Moore's Law with Inexactness for Supercomputing

Sven Leyffer, Stefan M. Wild, Mike Fagan +4

Energy and power consumption are major limitations to continued scaling of computing systems. Inexactness, where the quality of the solution can be traded for energy savings, has b…