#hardware-software co‑design

topichardware-software co‑design

8 papers · 1 filter

cs.AR2026

MDTransformer: A Hardware-Software Co-Design of Mode-Division Photonic Transformer Accelerator with Inverse-Designed Coherent Crossbar

Solomon Micheal Serunjogi, Rachmad Vidya Wicaksana Putra, Ayat Taha +2

MDTransformer is a hardware-software co-designed photonic accelerator that uses mode-division multiplexing and inverse-designed optical components to perform complex matrix multipl…

cs.AR2026

CODA: Algorithm-Hardware Co-design for Edge Video Diffusion via NMP-Enabled Compute-Cache Operator Disaggregation

Yuanpeng Zhang, YuXuan Wu, Yitong Xiao +6

The paper introduces CODA, a hardware-software co-designed architecture that separates compute and cache operations for edge video diffusion models, using near‑memory processing to…

cs.AR2026

Valinor: Architectural Support for Fast, Energy-Efficient and Programmable Physical Memory Allocation

Konstantinos Kanellopoulos, Spiros Galanopoulos, Konstantinos Sgouras +7

Valinor is a hardware‑OS cooperative substrate that provides a programmable allocation engine to accelerate physical memory allocation, achieving hardware‑level speed while retaini…

cs.AR2026

Kaleido: Algorithm-Hardware Co-Design for Video Diffusion Transformers by Exploiting Latent Space Correlations

Wenxuan Miao, Haosong Liu, Weiming Hu +9

Kaleido introduces a hardware‑software co‑design that speeds up video diffusion transformers by reusing channel‑wise spatiotemporal information in the latent space, achieving large…

cs.AR2026

Realizable N:M Sparse Transformer Inference via Search-Kernel Co-Design

Yiming Liu, Wenqi Lou, Zhiguang Wang +4

The paper presents a co-designed hardware and software framework that enables fast inference of Vision Transformers by applying N:M structured sparsity with a specialized CUDA kern…

cs.AR2026

A Reality Check on Quantum Optimisation: Evidence from an Industrial Case Study

Hila Safi, Karen Wintersperger, Oliver von Sicard +2

The paper evaluates quantum, quantum-inspired, and classical methods for solving an industrial job‑shop scheduling problem, comparing IBM Quantum, D‑Wave, and Fujitsu Digital Annea…