Spiking Neural Networks: Hardware & Algorithm Developments


A new technical paper titled "Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware" was published by researchers at Purdue University, Pennsylvania State University, and Yale University. Excerpt from Abstract: "In this article, we outline several strides that neuromorphic computing based on spiking neural networks (SNNs) has taken over the recent past, a... » read more

SW-HW Framework: Graphic Rendering on RISC-V GPUs (Georgia Tech, Cal Poly)


A new technical paper titled "Skybox: Open-Source Graphic Rendering on Programmable RISC-V GPUs" was published by researchers at Georgia Tech, California Polytechnic State University-San Luis Obispo. Abstract Excerpt: "In this work, we present Skybox, a full-stack open-source GPU architecture with integrated software, compiler, hardware, and simulation environment, that enables end-to-end G... » read more

Automated Tool Flow From Domain-Specific Languages To Generate Massively Parallel Accelerators on HBM-Equipped FPGAs


A new technical paper titled "Automatic Creation of High-bandwidth Memory Architectures from Domain-specific Languages: The Case of Computational Fluid Dynamics" was published by researchers at Politecnico di Milano and TU Dresden. The paper states "In this article, we propose an automated tool flow from a domain-specific language for tensor expressions to generate massively parallel acceler... » read more

Hybrid Hardware Fuzzer, Combining Capabilities of Formal Verification Methods And Fuzzing Tools


A new technical paper titled "HyPFuzz: Formal-Assisted Processor Fuzzing" was published by researchers at Texas A&M University and Technische Universität Darmstadt. Abstract: "Recent research has shown that hardware fuzzers can effectively detect security vulnerabilities in modern processors. However, existing hardware fuzzers do not fuzz well the hard-to-reach design spaces. Consequently,... » read more

Digital Neuromorphic Processor: Algorithm-HW Co-design (imec / KU Leuven)


A technical paper titled "Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design" was published by researchers at imec and KU Leuven. "In this work, we open the black box of the digital neuromorphic processor for algorithm designers by presenting the neuron processing instruction set and detailed energy consumption of the SENeCA neuromorphic architect... » read more

Design Considerations and Recent Advancements in Chiplets (UC Berkeley/ Peking University)


A new technical paper titled "Automated Design of Chiplets" was published by researchers at UC Berkeley and Peking University. Abstract: "Chiplet-based designs have gained recognition as a promising alternative to monolithic SoCs due to their lower manufacturing costs, improved re-usability, and optimized technology specialization. Despite progress made in various related domains, the des... » read more

Scalable, Shared-L1-Memory Manycore RISC-V System


A new technical paper titled "MemPool: A Scalable Manycore Architecture with a Low-Latency Shared L1 Memory" was published by researchers at ETH Zurich and University of Bologna. Abstract: "Shared L1 memory clusters are a common architectural pattern (e.g., in GPGPUs) for building efficient and flexible multi-processing-element (PE) engines. However, it is a common belief that these tightly... » read more

Gem5 Simulation Environment With Customized RISC-V Instructions for LIM Architectures


A new technical paper titled "Simulation Environment with Customized RISC-V Instructions for Logic-in-Memory Architectures" was published by researchers at National Tsing-Hua University, Politecnico di Torino, University of Rome Tor Vergata, and University of Twente. Abstract "Nowadays, various memory-hungry applications like machine learning algorithms are knocking "the memory wall". Tow... » read more

Combination of AI Techniques To Find The Best Ways to Place Transistors on Silicon Chips


A new technical paper titled "AutoDMP: Automated DREAMPlace-based Macro Placement" was published by researchers at NVIDIA. Abstract: "Macro placement is a critical very large-scale integration (VLSI) physical design problem that significantly impacts the design power-performance-area (PPA) metrics. This paper proposes AutoDMP, a methodology that leverages DREAMPlace, a GPU-accelerated place... » read more

Logic Locking at the RTL, Leveraging The Behavioral State Transition Coding For Obfuscation (University of Florida)


A new technical paper titled "ReTrustFSM: Toward RTL Hardware Obfuscation-A Hybrid FSM Approach" was published by researchers at University of Florida, Gainesville, FL. Abstract: "Hardware obfuscating is a proactive design-for-trust technique against IC supply chain threats, i.e., IP piracy and overproduction. Many studies have evaluated numerous techniques for obfuscation purposes. Neverth... » read more

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