Tootfinder

This https://arxiv.org/abs/2505.08944 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Toward Cost-Efficient Serving of Mixture-of-Experts with Asynchrony
Mixture-of-Experts (MoE) architectures offer the promise of larger model capacity without the prohibitive costs of fully dense designs. However, in real-world inference serving, load skew across experts often leads to suboptimal device utilization and excessive synchronization overheads. This paper introduces Asynchronous Expert Parallelism (AEP), a new paradigm that decouples layer execution from barrier-style synchronization. By dynamically queuing tokens at each layer (referred to as $μ$-qu…

Green Therapy
(an impression from an early morning hike last July)
#ForestFriday #LandscapePhotography #NaturePhotography

TRMAC: A Time-Reversal-based MAC Protocol for Wireless Networks within Computing Packages
Ama Bandara, Abhijit Das, Fatima Rodriguez-Galan, Eduard Alarcon, Sergi Abadal
https://arxiv.org/abs/2506.19487

TRMAC: A Time-Reversal-based MAC Protocol for Wireless Networks within Computing Packages
As chiplet-based integration and many-core architectures become the norm in high-performance computing, on-chip wireless communication has emerged as a compelling alternative to traditional interconnects. However, scalable Medium Access Control (MAC) remains a fundamental challenge, particularly under dense traffic and limited spectral resources. This paper presents TRMAC, a novel cross-layer MAC protocol that exploits the spatial focusing capability of Time Reversal (TR) to enable multiple par…

GratNet: A Photorealistic Neural Shader for Diffractive Surfaces
Narayan Kandel, Daljit Singh J. S. Dhillon
https://arxiv.org/abs/2506.15815 https://

GratNet: A Photorealistic Neural Shader for Diffractive Surfaces
Structural coloration is commonly modeled using wave optics for reliable and photorealistic rendering of natural, quasi-periodic and complex nanostructures. Such models often rely on dense, preliminary or preprocessed data to accurately capture the nuanced variations in diffractive surface reflectances. This heavy data dependency warrants implicit neural representation which has not been addressed comprehensively in the current literature. In this paper, we present a multi-layer perceptron (MLP…

Solace! Spirit cleansing.
(Incredible light on our morning hike today. So very grateful for these experiences, especially these days... 🙏)
#LandscapePhotography #NaturePhotography #MorningWalk