#hardware-software co-design

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7 papers match

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…

#photonic accelerator#transformer inference#mode-division multiplexing#hardware-software co-design
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…

#memory allocation#hardware-software co-design#energy efficiency#programmable hardware
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…

#vision transformers#n:m sparsity#hardware-software co-design#gpu acceleration
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…

#video diffusion models#transformer acceleration#hardware-software co-design#sparse attention
cs.AR2026

Microflow: Microarchitectural Causal Observability for Deep Cross-Layer Analysis and Optimization

Saber Ganjisaffar, Chengyu Song, Nael Abu-Ghazaleh

Microflow is a framework that converts execution traces into a causal intermediate representation, allowing precise attribution of microarchitectural stalls to their root causes ac…

#microarchitecture#performance analysis#causal tracing#hardware-software co-design
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…

#quantum optimization#job-shop scheduling#quantum annealing#digital annealer