52 citations · 285 across the 59 of their papers we have counts for
8 papers · 1 filter
Integrating SystemC TLM into FMI 3.0 Co-Simulations with an Open-Source Approach
Andrei Mihai Albu, Giovanni Pollo, Alessio Burrello +6
The growing complexity of cyber-physical systems, particularly in automotive applications, has increased the demand for efficient modeling and cross-domain co-simulation techniques…
Automatic integration of SystemC in the FMI standard for Software-defined Vehicle design
Giovanni Pollo, Andrei Mihai Albu, Alessio Burrello +6
The recent advancements of the automotive sector demand robust co-simulation methodologies that enable early validation and seamless integration across hardware and software domain…
Physical Design Exploration of a Wire-Friendly Domain-Specific Processor for Angstrom-Era Nodes
Lorenzo Ruotolo, Lara Orlandic, Pengbo Yu +8
This paper presents the physical design exploration of a domain-specific processor (DSIP) architecture targeted at machine learning (ML), addressing the challenges of interconnect…
Thermal Implications of Non-Uniform Power in BSPDN-Enabled 2.5D/3D Chiplet-based Systems-in-Package using Nanosheet Technology
Yukai Chen, Massimiliano Di Todaro, Bjorn Vermeersch +5
Advances in nanosheet technologies have significantly increased power densities, exacerbating thermal management challenges in 2.5D/3D chiplet-based Systems-in-Package (SiP). While…
Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization
Giuseppe Ruggeri, Renzo Andri, Daniele Jahier Pagliari +1
Deep Recommender Models (DLRMs) inference is a fundamental AI workload accounting for more than 79% of the total AI workload in Meta's data centers. DLRMs' performance bottleneck i…
MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design
Giovanni Pollo, Mohamed Amine Hamdi, Matteo Risso +9
Virtual Platforms (VPs) enable early software validation of autonomous systems' electronics, reducing costs and time-to-market. While many VPs support both functional and non-funct…
V-Seek: Accelerating LLM Reasoning on Open-hardware Server-class RISC-V Platforms
Javier J. Poveda Rodrigo, Mohamed Amine Ahmdi, Alessio Burrello +2
The recent exponential growth of Large Language Models (LLMs) has relied on GPU-based systems. However, CPUs are emerging as a flexible and lower-cost alternative, especially when…
Lightweight Software Kernels and Hardware Extensions for Efficient Sparse Deep Neural Networks on Microcontrollers
Francesco Daghero, Daniele Jahier Pagliari, Francesco Conti +3
The acceleration of pruned Deep Neural Networks (DNNs) on edge devices such as Microcontrollers (MCUs) is a challenging task, given the tight area- and power-constraints of these d…