Gemmini: Open-source, Full-Stack DNN Accelerator Generator (DAC Best Paper)


This technical paper titled "Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration" was published jointly by researchers at UC Berkeley and a co-author from MIT.  The research was partially funded by DARPA and won DAC 2021 Best Paper. The paper presents Gemmini, "an open-source, full-stack DNN accelerator generator for DNN workloads, enabling end-to-e... » read more

Formal Verification Methodology For Detecting Security-Critical Bugs in HW & in the HW/Firmware Interface of SoCs (Award Winner)


A new technical paper titled "A Formal Approach to Confidentiality Verification in SoCs at the Register Transfer Level" was this year's first place winner of Intel's Hardware Security Academic Award program.   The approach utilizes UPEC (Unique Program Execution Checking) to identify functional design bugs causing confidentiality violations, covering both the processor and its peripherals. ... » read more

Low Power HW Accelerator for FP16 Matrix Multiplications For Tight Integration Within RISC-V Cores


This new technical paper titled "RedMulE: A Compact FP16 Matrix-Multiplication Accelerator for Adaptive Deep Learning on RISC-V-Based Ultra-Low-Power SoCs" was published by researchers at University of Bologna and ETH Zurich. According to their abstract: "One of the key stumbling stones is the need for parallel floating-point operations, which are considered unaffordable on sub-100 mW extre... » read more

Secure Physical Design Roadmap Enabling End-To-End Trustworthy IC Design Flow


The FICS Research Institute (University of Florida) has published a new research paper titled "Secure Physical Design." This is the first and most comprehensive research work done in this area that requires significant attention from academia, industry, and government for ensuring trust in electronic design automation flow," said lead author Sukanta Dey. Abstract "An integrated circuit is s... » read more

HW/SW Co-Design to Configure DNN Models On Energy Harvesting Devices


New technical paper titled "EVE: Environmental Adaptive Neural Network Models for Low-Power Energy Harvesting System" was published by researchers at UT San Antonio, University of Connecticut, and Lehigh University. According to the abstract: "This paper proposes EVE, an automated machine learning (autoML) co-exploration framework to search for desired multi-models with shared weights for... » read more

Fast and Flexible FPGA-based NoC Hybrid Emulation


Researchers from RWTH Aachen University and Otto-von-Guericke Universitat Magdeburg have published a new technical paper titled "EmuNoC: Hybrid Emulation for Fast and Flexible Network-on-Chip Prototyping on FPGAs." Abstract: "Networks-on-Chips (NoCs) recently became widely used, from multi-core CPUs to edge-AI accelerators. Emulation on FPGAs promises to accelerate their RTL modeling co... » read more

A Safety-Oriented System Hardware Architecture Exploration Framework


New technical paper titled "Safety-Oriented System Hardware Architecture Exploration in Compliance with ISO 26262" from researchers at National Taipei University. Abstract: "Safety-critical intelligent automotive systems require stringent dependability while the systems are in operation. Therefore, safety and reliability issues must be addressed in the development of such safety-critical sy... » read more

Heterogeneous Redundant Circuit Design Approaches for FPGAs


New research paper titled "Evaluation of Directive-based Heterogeneous Redundant Design Approaches for Functional Safety Systems on FPGAs" from researchers at Nagasaki University. Abstract (Partial) "In this paper, we present and evaluates two heterogeneous redundant circuit design approaches for FPGAs: a resource-level approach and strategy-level approach. The resource-level approach foc... » read more

MIT & UC Berkeley: “Exo” Programming Language Writes High Performance Code For HW Accelerators


New research paper titled "Exocompilation for productive programming of hardware accelerators," from researchers at MIT and UC Berkeley. From their abstract: "To better support development of high-performance libraries for specialized hardware, we propose a new programming language, Exo, based on the principle of exocompilation: externalizing target-specific code generation support and op... » read more

TU Dresden: Tile-based Multi-Core Architecture for Heterogeneous RISC-V Processors Suitable for FPGA Platforms


New technical paper titled "AGILER: An Adaptive Heterogeneous Tile-Based Many-Core Architecture for RISC-V Processors" from researchers at Technische Universitaet Dresden (TU Dresden). Partial Abstract: "In this work, AGILER is proposed as an adaptive tile-base many-core architecture for heterogeneous RISC-V based processors. The proposed architecture consists of modular and adaptable heter... » read more

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