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09/21/2023
NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots
Perceiving and mapping the surroundings are essential for enabling auton...
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09/18/2023
Spatz: Clustering Compact RISC-V-Based Vector Units to Maximize Computing Efficiency
The ever-increasing computational and storage requirements of modern app...
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09/07/2023
Fully Onboard SLAM for Distributed Mapping with a Swarm of Nano-Drones
The use of Unmanned Aerial Vehicles (UAVs) is rapidly increasing in appl...
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09/07/2023
OSMOSIS: Enabling Multi-Tenancy in Datacenter SmartNICs
Multi-tenancy is essential for unleashing SmartNIC's potential in datace...
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09/04/2023
Scalable Hierarchical Instruction Cache for Ultra-Low-Power Processors Clusters
High Performance and Energy Efficiency are critical requirements for Int...
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07/31/2023
PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge
Emerging deep neural network (DNN) applications require high-performance...
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07/17/2023
Land Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization
Relative localization is a crucial functional block of any robotic swarm...
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07/17/2023
Fast Shared-Memory Barrier Synchronization for a 1024-Cores RISC-V Many-Core Cluster
Synchronization is likely the most critical performance killer in shared...
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07/12/2023
Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems
This paper deploys and explores variants of TinyissimoYOLO, a highly fle...
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07/09/2023
Towards a RISC-V Open Platform for Next-generation Automotive ECUs
The complexity of automotive systems is increasing quickly due to the in...
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07/07/2023
ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers
Transformer networks have emerged as the state-of-the-art approach for n...
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07/06/2023
Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge
Mixed-precision quantization, where a deep neural network's layers are q...
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07/04/2023
BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing
Wearable biosignal processing applications are driving significant progr...
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07/03/2023
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks
The emerging trend of deploying complex algorithms, such as Deep Neural ...
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06/27/2023
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms
Recent trends in deep learning (DL) imposed hardware accelerators as the...
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06/15/2023
ControlPULP: A RISC-V On-Chip Parallel Power Controller for Many-Core HPC Processors with FPGA-Based Hardware-In-The-Loop Power and Thermal Emulation
High-Performance Computing (HPC) processors are nowadays integrated Cybe...
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06/08/2023
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference
The need to execute Deep Neural Networks (DNNs) at low latency and low p...
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05/30/2023
Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers
Enabling On-Device Learning (ODL) for Ultra-Low-Power Micro-Controller U...
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05/27/2023
ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras
The interest in dynamic vision sensor (DVS)-powered unmanned aerial vehi...
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05/22/2023
Parallelizing Optical Flow Estimation on an Ultra-Low Power RISC-V Cluster for Nano-UAV Navigation
Optical flow estimation is crucial for autonomous navigation and localiz...
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05/15/2023
FlooNoC: A Multi-Tbps Wide NoC for Heterogeneous AXI4 Traffic
Meeting the staggering bandwidth requirements of today's applications ch...
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05/15/2023
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30
Emerging Artificial Intelligence-enabled Internet-of-Things (AI-IoT) Sys...
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05/12/2023
Echoes: a 200 GOPS/W Frequency Domain SoC with FFT Processor and I2S DSP for Flexible Data Acquisition from Microphone Arrays
Emerging applications in the IoT domain require ultra-low-power and high...
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05/11/2023
A Data-Driven Approach to Lightweight DVFS-Aware Counter-Based Power Modeling for Heterogeneous Platforms
Computing systems have shifted towards highly parallel and heterogeneous...
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05/09/2023
Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra
Sparse linear algebra is crucial in many application domains, but challe...
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05/09/2023
A High-performance, Energy-efficient Modular DMA Engine Architecture
Data transfers are essential in today's computing systems as latency and...
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05/08/2023
Cheshire: A Lightweight, Linux-Capable RISC-V Host Platform for Domain-Specific Accelerator Plug-In
Power and cost constraints in the internet-of-things (IoT) extreme-edge ...
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04/20/2023
SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators
To meet the growing need for computational power for DNNs, multiple spec...
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04/14/2023
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras
Optical flow provides information on relative motion that is an importan...
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03/31/2023
DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training
On-chip DNN inference and training at the Extreme-Edge (TinyML) impose s...
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03/30/2023
MemPool: A Scalable Manycore Architecture with a Low-Latency Shared L1 Memory
Shared L1 memory clusters are a common architectural pattern (e.g., in G...
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03/24/2023
Factorizers for Distributed Sparse Block Codes
Distributed sparse block codes (SBCs) exhibit compact representations fo...
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03/03/2023
Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs
Miniaturized autonomous unmanned aerial vehicles (UAVs) are an emerging ...
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02/15/2023
ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications
End-to-end event-based computation has the potential to push the envelop...
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02/15/2023
Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning
Decentralised Machine Learning (DML) enables collaborative machine learn...
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02/12/2023
Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference
In this paper, we present Quark, an integer RISC-V vector processor spec...
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02/06/2023
CVA6 RISC-V Virtualization: Architecture, Microarchitecture, and Design Space Exploration
Virtualization is a key technology used in a wide range of applications,...
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01/28/2023
Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones
Nano-sized drones, with palm-sized form factor, are gaining relevance in...
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01/24/2023
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge
Neural Architecture Search (NAS) is quickly becoming the go-to approach ...
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01/10/2023
RedMule: A Mixed-Precision Matrix-Matrix Operation Engine for Flexible and Energy-Efficient On-Chip Linear Algebra and TinyML Training Acceleration
The increasing interest in TinyML, i.e., near-sensor machine learning on...
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12/01/2022
TCN-CUTIE: A 1036 TOp/s/W, 2.72 uJ/Inference, 12.2 mW All-Digital Ternary Accelerator in 22 nm FDX Technology
Tiny Machine Learning (TinyML) applications impose uJ/Inference constrai...
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11/27/2022
HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC
IoT applications span a wide range in performance and memory footprint, ...
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11/25/2022
HexaMesh: Scaling to Hundreds of Chiplets with an Optimized Chiplet Arrangement
2.5D integration is an important technique to tackle the growing cost of...
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11/25/2022
Sparse Hamming Graph: A Customizable Network-on-Chip Topology
Chips with hundreds to thousands of cores require scalable networks-on-c...
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11/23/2022
End-to-End DNN Inference on a Massively Parallel Analog In Memory Computing Architecture
The demand for computation resources and energy efficiency of Convolutio...
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11/18/2022
AXI-Pack: Near-Memory Bus Packing for Bandwidth-Efficient Irregular Workloads
Data-intensive applications involving irregular memory streams are ineff...
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11/09/2022
In-memory factorization of holographic perceptual representations
Disentanglement of constituent factors of a sensory signal is central to...
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10/17/2022
Efficient Parallelization of 5G-PUSCH on a Scalable RISC-V Many-core Processor
5G Radio access network disaggregation and softwarization pose challenge...
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10/17/2022
A ”New Ara” for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design
Vector architectures are gaining traction for highly efficient processin...
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10/07/2022