Research
Research
G-GPU: A Fully-Automated Generator of GPU-like ASIC Accelerators
Abstract
G-GPU introduces a general-purpose, GPU-like ASIC accelerator designed for energy-efficient, high-performance parallel processing in Systems on Chip (SoCs). The core innovation is GPUPlanner, an open-source, fully-automated platform that generates these complex accelerators
Research
vlang: Mapping Verilog Netlists to Modern Technologies
Abstract
This paper introduces vlang, a novel framework designed to solve the challenge of migrating device-specific Verilog netlists to modern computational targets when original design files are unavailable. vlang automatically translates these netlists
Research
PiDRAM: A Holistic End-to-end FPGA-based Framework for Processing-in-DRAM
Abstract
PiDRAM is presented as the first flexible, end-to-end FPGA-based framework designed to solve system integration challenges for Processing-using-Memory (PuM) techniques on off-the-shelf DRAM. Utilizing an open-source RISC-V system, the framework provides comprehensive
Research
A RISC-V Simulator and Benchmark Suite for Designing and Evaluating Vector Architectures
Abstract
Vector architecture research currently suffers from a critical lack of flexible simulation tools and standardized benchmark suites, particularly within platforms like gem5. This work introduces a parameterizable RISC-V Vector Architecture model by
Research
Vortex: Extending the RISC-V ISA for GPGPU and 3D-GraphicsResearch
Abstract
Vortex introduces a minimally intrusive ISA extension to the RISC-V instruction set architecture, specifically designed to facilitate GPGPU and 3D-graphics research and address the scarcity of open-source GPU infrastructure. The design is
Research
Vega: A 10-Core SoC for IoT End-Nodes with DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode
Abstract
Vega is a 10-core RISC-V System-on-Chip designed specifically for ultra-low-power IoT end-nodes requiring complex near-sensor analytics and high performance. It features a novel MRAM-based state-retentive cognitive sleep mode that consumes only 1.