8 papers
COSMA: Communication-aware Optimization of Fermionic Simulation Kernels for Modular Quantum Architectures
Enrico Russo, Francesco G. Blanco, Elio Vinciguerra +3
Quantum simulation is a leading application of quantum computing, but scaling to chemically relevant problems requires modular architectures composed of interconnected quantum proc…
MATCHA: Efficient Deployment of Deep Neural Networks on Multi-Accelerator Heterogeneous Edge SoCs
Enrico Russo, Mohamed Amine Hamdi, Alessandro Ottaviano +6
Deploying DNNs on System-on-Chips (SoC) with multiple heterogeneous acceleration engines is challenging, and the majority of deployment frameworks cannot fully exploit heterogeneit…
CHAOS: Controlled Hardware fAult injectOr System for gem5
Elio Vinciguerra, Enrico Russo, Giuseppe Ascia +1
Fault injectors are essential tools for evaluating the reliability and resilience of computing systems. They enable the simulation of hardware and software faults to analyze system…
Instruction-Directed MAC for Efficient Classical Communication in Scalable Multi-Chip Quantum Systems
Maurizio Palesi, Enrico Russo, Hamaad Rafique +4
Scalable quantum computing requires modular multi-chip architectures integrating multiple quantum cores interconnected through quantum-coherent and classical links. The classical c…
Assessing the Role of Communication in Modular Multi-Core Quantum Systems
Maurizio Palesi, Enrico Russo, Giuseppe Ascia +8
The scalability of quantum computing is constrained by the physical and architectural limitations of monolithic quantum processors. Modular multi-core quantum architectures, which…
A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures
Serena Curzel, Fabrizio Ferrandi, Leandro Fiorin +15
Given their increasing size and complexity, the need for efficient execution of deep neural networks has become increasingly pressing in the design of heterogeneous High-Performanc…