Tootfinder

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures
Mufakir Qamar Ansari (Department of Electrical Engineering and Computer Science, The University of Toledo, Toledo, OH, USA), Mudabir Qamar Ansari (Department of School of Accounting and Information Systems, Lamar University, Beaumont, TX, USA)
https://

Racing to Idle: Energy Efficiency of Matrix Multiplication on Heterogeneous CPU and GPU Architectures
The paradigm shift towards multi-core and heterogeneous computing, driven by the fundamental power and thermal limits of single-core processors, has established energy efficiency as a first-class design constraint in high-performance computing (HPC). Heterogeneous systems, integrating traditional multi-core CPUs with specialized accelerators like discrete (dGPU) and integrated (iGPU) graphics processing units, offer a compelling path to navigating the trade-offs between performance and power. H…

Accelerating Matrix Multiplication: A Performance Comparison Between Multi-Core CPU and GPU
Mufakir Qamar Ansari (The University of Toledo, Toledo, OH, USA), Mudabir Qamar Ansari (Lamar University, Beaumont, TX, USA)
https://arxiv.org/abs/2507.19723

Accelerating Matrix Multiplication: A Performance Comparison Between Multi-Core CPU and GPU
Matrix multiplication is a foundational operation in scientific computing and machine learning, yet its computational complexity makes it a significant bottleneck for large-scale applications. The shift to parallel architectures, primarily multi-core CPUs and many-core GPUs, is the established solution, and these systems are now ubiquitous from datacenters to consumer laptops. This paper presents a direct, empirical performance analysis of matrix multiplication on a modern, consumer-grade heter…

This https://arxiv.org/abs/2505.24137 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…

Energy-Oriented Computing Architecture Simulator for SNN Training
With the growing demand for intelligent computing, neuromorphic computing, a paradigm that mimics the structure and functionality of the human brain, offers a promising approach to developing new high-efficiency intelligent computing systems. Spiking Neural Networks (SNNs), the foundation of neuromorphic computing, have garnered significant attention due to their unique potential in energy efficiency and biomimetic neural processing. However, current hardware development for efficient SNN train…

Lensing without mass: The matter density profile in cosmic voids from UNIONS
Hunter L. Martin, Michael J. Hudson, Alex Woodfinden, Lucie Baumont, Thomas de Boer, Pierre A. Burger, Jack Elvin-Poole, S\'ebastien Fabbro, Samuel Farrens, Sacha Guerrini, Axel Guinot, Fabian Hervas-Peters, Hendrik Hildebrandt, Martin Kilbinger, Ludovic van Waerbeke, Anna Wittje

Lensing without mass: The matter density profile in cosmic voids from UNIONS
We measure the distribution of matter contained within the emptiest regions of the Universe: cosmic voids. We use the large overlap between the Ultraviolet Near-Infrared Optical Northern Survey (UNIONS) and voids identified in the LOWZ and CMASS catalogues of the Baryon Oscillation Spectroscopic Survey (BOSS) to constrain the excess surface mass density of voids using weak lensing. We present and validate a novel method for computing the Gaussian component of the conventional weak lensing covar…

A Computational Optimisation Study of Hip Implant Using Density Mapping Functionally Graded Biomimetic TPMS-based Lattice Structures
Mahtab Vafaeefar, Conall Quinn, Kevin M. Moerman, Ted J. Vaughan
https://arxiv.org/abs/2508.08079

A Computational Optimisation Study of Hip Implant Using Density Mapping Functionally Graded Biomimetic TPMS-based Lattice Structures
This study presents a computational optimisation framework of a hip implant through the development of a functionally graded biomimetic lattice structure, whose design was structurally optimised to limit stress shielding. The optimisation technique was inspired by the inverse of a bone remodelling algorithm, promoting an even stress distribution throughout the design region, by reducing the density and consequently the stiffness, in regions where strain energy was higher than the reference leve…