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View article: SpikeStream: Accelerating Spiking Neural Network Inference on RISC-V Clusters with Sparse Computation Extensions
SpikeStream: Accelerating Spiking Neural Network Inference on RISC-V Clusters with Sparse Computation Extensions Open
Spiking Neural Network (SNN) inference has a clear potential for high energy efficiency as computation is triggered by events. However, the inherent sparsity of events poses challenges for conventional computing systems, driving the develo…
View article: SpikeStream: Accelerating Spiking Neural Network Inference on RISC-V Clusters with Sparse Computation Extensions
SpikeStream: Accelerating Spiking Neural Network Inference on RISC-V Clusters with Sparse Computation Extensions Open
Spiking Neural Network (SNN) inference has a clear potential for high energy efficiency as computation is triggered by events. However, the inherent sparsity of events poses challenges for conventional computing systems, driving the develo…
View article: Efficient Trace for RISC-V: Design, Evaluation, and Integration in CVA6
Efficient Trace for RISC-V: Design, Evaluation, and Integration in CVA6 Open
In this work, we present the design and evaluation of a Processor Tracing System compliant with the RISC-V Efficient Trace specification for Instruction Branch Tracing. We integrate our system into the host domain of a state-of-the-art edg…
View article: Exploring Spiking Neural Networks for Deep Reinforcement Learning in Robotic Tasks: A Comparative Study
Exploring Spiking Neural Networks for Deep Reinforcement Learning in Robotic Tasks: A Comparative Study Open
Spiking Neural Networks (SNNs) stand as the third generation of Artificial Neural Networks (ANNs), mirroring the functionality of the mammalian brain more closely than their predecessors. Their computational units, spiking neurons, charact…
View article: NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores
NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores Open
Spiking Neural Networks (SNNs) have emerged as a promising bio-inspired solution to address the need for low-latency, energy-efficient artificial intelligence systems. SNNs pose a challenge to traditional CPUs, GPUs and neural network acce…
View article: TitanCFI: Toward Enforcing Control-Flow Integrity in the Root-of-Trust
TitanCFI: Toward Enforcing Control-Flow Integrity in the Root-of-Trust Open
Modern RISC-V platforms control and monitor security-critical systems such as industrial controllers and autonomous vehicles. While these platforms feature a Root-of-Trust (RoT) to store authentication secrets and enable secure boot techno…