Paper

Research

GSIM: Accelerating RTL Simulation for Large-Scale Designs

Abstract This paper introduces GSIM, a novel RTL simulator designed to overcome the severe simulation bottleneck encountered in modern, large-scale hardware designs. The authors explore and optimize four major sources of computation overhead

By Admin 4 Aug 2025 • 2 min read •

Research

MARVEL: An End-to-End Framework for Generating Model-Class Aware Custom RISC-V Extensions for Lightweight AI (Full Report)

By Admin 3 Aug 2025 • 3 min read •

Research

MARVEL: An End-to-End Framework for Generating Model-Class Aware Custom RISC-V Extensions for Lightweight AI

Abstract MARVEL is an automated, end-to-end framework designed to efficiently deploy deep neural networks (DNNs) on highly resource-constrained IoT devices operating in bare-metal environments. It achieves this by generating custom RISC-V Instruction Set

By Admin 3 Aug 2025 • 2 min read •

Research

A Dynamic Allocation Scheme for Adaptive Shared-Memory Mapping on Kilo-core RV Clusters for Attention-Based Model Deployment (Full Report)

By Admin 2 Aug 2025 • 3 min read •

Research

A Dynamic Allocation Scheme for Adaptive Shared-Memory Mapping on Kilo-core RV Clusters for Attention-Based Model Deployment

Abstract This paper presents the Dynamic Allocation Scheme (DAS) to resolve severe shared L1 memory contention and underutilization issues in kilo-core RISC-V clusters designed for attention-based models. DAS is a runtime programmable address

By Admin 2 Aug 2025 • 2 min read •

Research

Smart Video Capsule Endoscopy: Raw Image-Based Localization for Enhanced GI Tract Investigation (Full Report)

By Admin 31 Jul 2025 • 3 min read •

Research

Smart Video Capsule Endoscopy: Raw Image-Based Localization for Enhanced GI Tract Investigation

Abstract This work introduces an ultra-low power AI solution for Smart Video Capsule Endoscopy, addressing severe battery life limitations in medical edge devices. The innovation involves performing accurate organ classification (93.06% accuracy)

By Admin 31 Jul 2025 • 2 min read •

Research

Accelerating GenAI Workloads by Enabling RISC-V Microkernel Support in IREE (Full Report)

By Admin 7 Jul 2025 • 3 min read •

Research

Accelerating GenAI Workloads by Enabling RISC-V Microkernel Support in IREE

Abstract This paper focuses on accelerating Generative AI workloads by successfully integrating optimized microkernel support for the RISC-V architecture within IREE, an MLIR-based machine learning compiler and runtime. The core technical approach involves

By Admin 7 Jul 2025 • 1 min read •

Research

MEDEA: A Design-Time Multi-Objective Manager for Energy-Efficient DNN Inference on Heterogeneous Ultra-Low Power Platforms (Full Report)

By Admin 23 Jun 2025 • 3 min read •

Research

MEDEA: A Design-Time Multi-Objective Manager for Energy-Efficient DNN Inference on Heterogeneous Ultra-Low Power Platforms

Abstract MEDEA is a novel design-time multi-objective manager focused on maximizing energy efficiency for Deep Neural Network (DNN) inference on Heterogeneous Ultra-Low Power (HULP) platforms. It integrates kernel-level Dynamic Voltage and Frequency Scaling

By Admin 23 Jun 2025 • 2 min read •

Research

HetGPU: The pursuit of making binary compatibility towards GPUs (Full Report)

By Admin 19 Jun 2025 • 3 min read •