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The future of computing beyond Moore's Law
J Shalf - Philosophical Transactions of the Royal Society …, 2020 - royalsocietypublishing.org
Moore's Law is a techno-economic model that has enabled the information technology
industry to double the performance and functionality of digital electronics roughly every 2 …
industry to double the performance and functionality of digital electronics roughly every 2 …
A full-stack search technique for domain optimized deep learning accelerators
The rapidly-changing deep learning landscape presents a unique opportunity for building
inference accelerators optimized for specific datacenter-scale workloads. We propose Full …
inference accelerators optimized for specific datacenter-scale workloads. We propose Full …
Towards general purpose acceleration by exploiting common data-dependence forms
With slowing technology scaling, specialized accelerators are increasingly attractive
solutions to continue expected generational scaling of performance. However, in order to …
solutions to continue expected generational scaling of performance. However, in order to …
Tileflow: A framework for modeling fusion dataflow via tree-based analysis
With the increasing size of DNN models and the growing discrepancy between compute
performance and memory bandwidth, fusing multiple layers together to reduce off-chip …
performance and memory bandwidth, fusing multiple layers together to reduce off-chip …
Evaluating emerging ai/ml accelerators: Ipu, rdu, and nvidia/amd gpus
The relentless advancement of artificial intelligence (AI) and machine learning (ML)
applications necessitates the development of specialized hardware accelerators capable of …
applications necessitates the development of specialized hardware accelerators capable of …
FCNNLib: A flexible convolution algorithm library for deep learning on FPGAs
Y Liang, Q ** applications to dataflow-based coarse-grained reconfigurable array
The Streaming Engine (SE) is a Coarse-Grained Reconfigurable Array which provides
programming flexibility and high-performance with energy efficiency. An application program …
programming flexibility and high-performance with energy efficiency. An application program …
EA4RCA: Efficient AIE accelerator design framework for regular Communication-Avoiding Algorithm
W Zhang, Y Liu, T Zang, Z Bao - ACM Transactions on Architecture and …, 2024 - dl.acm.org
With the introduction of the Adaptive Intelligence Engine (AIE), the Versal Adaptive Compute
Acceleration Platform (Versal ACAP) has garnered great attention. However, the current …
Acceleration Platform (Versal ACAP) has garnered great attention. However, the current …
Squaring the circle: Executing Sparse Matrix Computations on FlexTPU---A TPU-Like Processor
Systolic arrays have been successful to accelerate dense linear algebra for deep neural
networks (DNNs), but cannot handle sparse computations efficiently. Though early attempts …
networks (DNNs), but cannot handle sparse computations efficiently. Though early attempts …
DAP: A 507-GMACs/J 256-Core Domain Adaptive Processor for Wireless Communication and Linear Algebra Kernels in 12-nm FINFET
We present domain adaptive processor (), a programmable systolic-array processor
designed for wireless communication and linear algebra workloads. uses a globally …
designed for wireless communication and linear algebra workloads. uses a globally …