Research
How Secure Are RISC-V Chips? - Semiconductor Engineering
Abstract
The security of RISC-V chips is highly dependent on implementation quality and specific architecture extensions rather than being monolithic, posing unique verification and trust challenges due to its open and customizable nature.
Research
BARVINN: Arbitrary Precision DNN Accelerator Controlled by a RISC-V CPU
Abstract
BARVINN is an open-source DNN accelerator that enables deep learning inference at arbitrary precision using dedicated, bit-level configurable Processing Elements (PEs). The system is efficiently managed by a dedicated RISC-V CPU controller,
Research
RISC-V decoupled Vector Processing Unit (VPU) For HPC - Semiconductor Engineering
Abstract
The article details a new RISC-V decoupled Vector Processing Unit (VPU) specifically designed to meet the rigorous demands of High-Performance Computing (HPC) applications. This architectural separation enhances throughput and improves latency tolerance
Research
Generic Tagging for RISC-V Binaries
Abstract
The paper introduces COGENT, a generic instruction tag generator designed for RISC-V binaries to simplify the implementation of custom hardware security solutions without requiring specialized compilers. COGENT associates configurable tags (1 to
Research
TCN-CUTIE: A 1036 TOp/s/W, 2.72 uJ/Inference, 12.2 mW All-Digital Ternary Accelerator in 22 nm FDX Technology
Abstract
TCN-CUTIE is a novel, all-digital ternary neural network accelerator implemented in 22 nm FDX technology and integrated into a RISC-V SoC, designed specifically for stringent TinyML constraints. It achieves a record peak
Research
HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC
Abstract
HULK-V is an open-source, ultra-low-power, heterogeneous RISC-V System-on-Chip designed to bring full Linux capability and agility to energy-constrained IoT applications. It combines a 64-bit RISC-V processor with an 8-core Programmable Multi-Core Accelerator