Results 21 to 30 of about 687 (31)
Evolutionary Large Language Models for Hardware Security: A Comparative Survey
Automating hardware (HW) security vulnerability detection and mitigation during the design phase is imperative for two reasons: (i) It must be before chip fabrication, as post-fabrication fixes can be costly or even impractical; (ii) The size and ...
Akyash, Mohammad, Kamali, Hadi Mardani
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We experimentally analyze the computational capability of commercial off-the-shelf (COTS) DRAM chips and the robustness of these capabilities under various timing delays between DRAM commands, data patterns, temperature, and voltage levels.
Bostanci, F. Nisa +10 more
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GraphGPT: Graph Instruction Tuning for Large Language Models
Graph Neural Networks (GNNs) have evolved to understand graph structures through recursive exchanges and aggregations among nodes. To enhance robustness, self-supervised learning (SSL) has become a vital tool for data augmentation.
Cheng, Suqi +7 more
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Virtuoso: An Open-Source, Comprehensive and Modular Simulation Framework for Virtual Memory Research
Virtual memory is a cornerstone of modern computing systems.Introduced as one of the earliest instances of hardware-software co-design, VM facilitates programmer-transparent memory man agement, data sharing, process isolation and memory protection ...
Kanellopoulos, Konstantinos +2 more
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PIMSIM-NN: An ISA-based Simulation Framework for Processing-in-Memory Accelerators
Processing-in-memory (PIM) has shown extraordinary potential in accelerating neural networks. To evaluate the performance of PIM accelerators, we present an ISA-based simulation framework including a dedicated ISA targeting neural networks running on PIM
Chen, Xiaoming +3 more
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GTA: a new General Tensor Accelerator with Better Area Efficiency and Data Reuse
Recently, tensor algebra have witnessed significant applications across various domains. Each operator in tensor algebra features different computational workload and precision. However, current general accelerators, such as VPU, GPGPU, and CGRA, support
Ai, Chenyang +5 more
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Block-SSD: A New Block-Based Blocking SSD Architecture
Computer science and related fields (e.g., computer engineering, computer hardware engineering, electrical engineering, electrical and computer engineering, computer systems engineering) often draw inspiration from other fields, areas, and the real world
Cho, Sungjun +4 more
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Full-stack evaluation of Machine Learning inference workloads for RISC-V systems
Architectural simulators hold a vital role in RISC-V research, providing a crucial platform for workload evaluation without the need for costly physical prototypes.
Anmol +4 more
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A Survey on Hardware Accelerators for Large Language Models
Large Language Models (LLMs) have emerged as powerful tools for natural language processing tasks, revolutionizing the field with their ability to understand and generate human-like text. As the demand for more sophisticated LLMs continues to grow, there
Kachris, Christoforos
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A modular architecture for IMU-based data gloves
The flexibility and range of motion in human hands play a crucial role in human interaction with the environment and have been studied across different fields. Researchers explored various technological solutions for gathering information from the hands.
Alameh, Mohamad +3 more
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