collaborators

8 papers

cs.DC2026

One Communicator, Three Vendors: Extending the MoA Predictive Theory to a Real NVIDIA+AMD+CPU MPI Ensemble

Lenore Mullin, Gaetan Hains

The companion MPI-extension paper validated the first communication-bearing machine-shape ensemble: four NVIDIA A100 ranks and four CPU ranks on one NCSA Delta node under one Open…

cs.DC2026

Closing the Prediction Gap: Completing Machine Shape So That Predicted Time, Power, Energy, and Mapping Match What Real Hardware Does

Lenore Mullin, Gaetan Hains

A companion paper derives a weighted, communication free partition for heterogeneous, multi institution device ensembles from each device measured shape, rho_machine(d), validated…

cs.DC2026

Validating Memory-Optimal Transformer Kernels on Real Hardware: From Formal Derivation to Measured Performance Across Two HPC Clusters

Lenore M. Mullin, Gaetan Hains

We validate memory-optimal cost functions for transformer kernels derived via the Mathematics of Arrays (MoA). Companion Papers I-IV formally derive kernels for attention forward,…

cs.GL2026

The Mathematical Evolution of Addressing: From Yushchenko's Address Programming Language to A Mathematics of Arrays How Addressing Evolved into a Mathematical Theory of Indexing, Array Computation, and Machine Realization

Lenore Mullin, Gaetan Hains

This article argues that a central development in the history of computing is the mathematical evolution of addressing. During the three decades separating Kateryna Yushchenko's Ad…

cs.PF2026

Testing the EPYC Conjecture on Real Hardware: MoA-Guided Dense Matrix Multiplication on NCSA Delta (AMD EPYC 7763 Milan)

Lenore M Mullin

A companion empirical study conjectured that MoA-guided dense matrix multiplication would need per-CCD recalibration on AMD EPYC Bergamo; allocation access to that machine was decl…

cs.PF2026

Machine Shape and Hierarchical Blocking: A Mathematics of Arrays Formalization, with an Open Problem in Hierarchical Shape Occupancy

Lenore M Mullin

A companion empirical study found that dense matrix multiplication block sizes calibrated on Apple M1 Pro correspond to two cache-t formulas that mispredict badly on a dierent chip…

cs.LG2026

Attention at the Theoretical Minimum: A Mathematics of Arrays Framework for Memory-Optimal Transformer Kernels

Lenore Mullin, Gaetan Hains

The attention mechanism is the dominant computational bottleneck in modern transformer-based AI. Its standard implementation incurs quadratic memory traffic in the sequence length~…

cs.MS2009

Tensors and n-d Arrays:A Mathematics of Arrays (MoA), psi-Calculus and the Composition of Tensor and Array Operations

Lenore M. Mullin, James E. Raynolds

The Kronecker product is a key algorithm and is ubiquitous across the physical, biological, and computation social sciences. Thus considerations of optimal implementation are impor…