collaborators

6 papers

cs.DC2025

Do MPI Derived Datatypes Actually Help? A Single-Node Cross-Implementation Study on Shared-Memory Communication

Temitayo Adefemi

MPI's derived datatypes (DDTs) promise easier, copy-free communication of non-contiguous data, yet their practical performance remains debated and is often reported only for a sing…

cs.DC2025

The Entropy of Parallel Systems

Temitayo Adefemi

Ever since Claude Shannon used entropy for his "Mathematical Theory of Communication", entropy has become a buzzword in research circles with scientists applying entropy to describ…

cs.DC2025

What Every Computer Scientist Needs To Know About Parallelization

Temitayo Adefemi

Parallelization has become a cornerstone of modern computing, influencing everything from high performance supercomputers to everyday mobile devices. This paper presents a comprehe…

cs.DC2024

Analysis of the Performance of the Matrix Multiplication Algorithm on the Cirrus Supercomputer

Temitayo Adefemi

Matrix multiplication is integral to various scientific and engineering disciplines, including machine learning, image processing, and gaming. With the increasing data volumes in a…

nlin.CG2024

Cellular Automata as a Network Topology

Temitayo Adefemi

Cellular automata represent physical systems where both space and time are discrete, and the associated physical quantities assume a limited set of values. While previous research…

cs.CL2024

A Conceptual Framework For Trie-Augmented Neural Networks (TANNS)

Temitayo Adefemi

Trie-Augmented Neural Networks (TANNs) combine trie structures with neural networks, forming a hierarchical design that enhances decision-making transparency and efficiency in mach…