Paper

Research

A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks

Abstract This paper presents a heterogeneous, tightly-coupled clustered architecture integrating 8 RISC-V cores, an analog In-Memory Computing (IMC) accelerator, and digital accelerators, designed for flexible end-to-end deep neural network (DNN) inference in TinyML

By Admin 4 Jan 2022 • 2 min read •

Research

A Parallel SystemC Virtual Platform for Neuromorphic Architectures (Full Report)

By Admin 24 Dec 2021 • 3 min read •

Research

A Parallel SystemC Virtual Platform for Neuromorphic Architectures

Abstract Simulating complex neuromorphic architectures and benchmarking demanding Artificial Neural Network (ANN) applications requires significant computational resources during the early design phase. This paper presents a novel parallel SystemC-based Virtual Platform (VP) specifically

By Admin 24 Dec 2021 • 1 min read •

Research

IMCRYPTO: An In-Memory Computing Fabric for AES Encryption and Decryption (Full Report)

By Admin 4 Dec 2021 • 3 min read •

Research

IMCRYPTO: An In-Memory Computing Fabric for AES Encryption and Decryption

Abstract IMCRYPTO is a novel In-Memory Computing (IMC) fabric designed to accelerate AES encryption and decryption using a unified hardware architecture. This approach combines the (Inv)SubBytes and (Inv)MixColumns steps, leveraging high

By Admin 4 Dec 2021 • 2 min read •

Research

PERCIVAL: Open-Source Posit RISC-V Core with Quire Capability (Full Report)

By Admin 30 Nov 2021 • 3 min read •

Research

PERCIVAL: Open-Source Posit RISC-V Core with Quire Capability

Abstract PERCIVAL is the first open-source, application-level RISC-V core to natively implement the complete posit arithmetic instruction set, critically including the quire fused operations. This implementation integrates the Xposit RISC-V extension into LLVM,

By Admin 30 Nov 2021 • 1 min read •

Research

G-GPU: A Fully-Automated Generator of GPU-like ASIC Accelerators (Full Report)

By Admin 11 Nov 2021 • 3 min read •

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

By Admin 11 Nov 2021 • 2 min read •

Research

vlang: Mapping Verilog Netlists to Modern Technologies (Full Report)

By Admin 9 Nov 2021 • 3 min read •

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

By Admin 9 Nov 2021 • 2 min read •

Research

PiDRAM: A Holistic End-to-end FPGA-based Framework for Processing-in-DRAM (Full Report)

By Admin 29 Oct 2021 • 4 min read •