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1
When Prefetching Works, When It Doesnat, and Why
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When Prefetching Works, When It Doesnat, and Why

Lee, Jaekyu ; Kim, Hyesoon ; Vuduc, Richard

ACM transactions on architecture and code optimization, 2012-03, Vol.9 (1), p.1-29 [Periódico revisado por pares]

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2
The Impact of Page Size and Microarchitecture on Instruction Address Translation Overhead
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The Impact of Page Size and Microarchitecture on Instruction Address Translation Overhead

Zhou, Yufeng ; Cox, Alan L. ; Dwarkadas, Sandhya ; Dong, Xiaowan

ACM transactions on architecture and code optimization, 2023-09, Vol.20 (3), p.1-25 [Periódico revisado por pares]

New York, NY: ACM

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3
A RISC-V Simulator and Benchmark Suite for Designing and Evaluating Vector Architectures
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A RISC-V Simulator and Benchmark Suite for Designing and Evaluating Vector Architectures

Ramírez, Cristóbal ; Hernández, César Alejandro ; Palomar, Oscar ; Unsal, Osman ; Ramírez, Marco Antonio ; Cristal, Adrián

ACM transactions on architecture and code optimization, 2020-11, Vol.17 (4), p.1-30 [Periódico revisado por pares]

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4
Hyperion: A Highly Effective Page and PC Based Delta Prefetcher
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Hyperion: A Highly Effective Page and PC Based Delta Prefetcher

Cui, Yujie ; Chen, Wei ; Cheng, Xu ; Yi, Jiangfang

ACM transactions on architecture and code optimization, 2024-07 [Periódico revisado por pares]

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5
Cross-Core Data Sharing for Energy-Efficient GPUs
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Cross-Core Data Sharing for Energy-Efficient GPUs

Falahati, Hajar ; Sadrosadati, Mohammad ; Xu, Qiumin ; Gómez-Luna, Juan ; Latibari, Banafsheh Saber ; Jeon, Hyeran ; Hesaabi, Shaahin ; Sarbazi-Azad, Hamid ; Mutlu, Onur ; Annavaram, Murali ; Pedram, Masoud

ACM transactions on architecture and code optimization, 2024-03 [Periódico revisado por pares]

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6
Simultaneous Multi-Layer Access: Improving 3D-Stacked Memory Bandwidth at Low Cost
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Simultaneous Multi-Layer Access: Improving 3D-Stacked Memory Bandwidth at Low Cost

Lee, Donghyuk ; Ghose, Saugata ; Pekhimenko, Gennady ; Khan, Samira ; Mutlu, Onur

ACM transactions on architecture and code optimization, 2016-01, Vol.12 (4), p.1-29 [Periódico revisado por pares]

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7
NEM-GNN: DAC/ADC-less, Scalable, Reconfigurable, Graph and Sparsity-Aware Near-Memory Accelerator for Graph Neural Networks
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NEM-GNN: DAC/ADC-less, Scalable, Reconfigurable, Graph and Sparsity-Aware Near-Memory Accelerator for Graph Neural Networks

Sundara Raman, Siddhartha Raman ; John, Lizy ; Kulkarni, Jaydeep P.

ACM transactions on architecture and code optimization, 2024-06, Vol.21 (2), p.1-26, Article 39 [Periódico revisado por pares]

New York, NY: ACM

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8
Tyche: An Efficient and General Prefetcher for Indirect Memory Accesses
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Tyche: An Efficient and General Prefetcher for Indirect Memory Accesses

Xue, Feng ; Han, Chenji ; Li, Xinyu ; Wu, Junliang ; Zhang, Tingting ; Liu, Tianyi ; Hao, Yifan ; Du, Zidong ; Guo, Qi ; Zhang, Fuxin

ACM transactions on architecture and code optimization, 2024-06, Vol.21 (2), p.1-26, Article 30 [Periódico revisado por pares]

New York, NY: ACM

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9
RegCPython: A Register-based Python Interpreter for Better Performance
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RegCPython: A Register-based Python Interpreter for Better Performance

Zhang, Qiang ; Xu, Lei ; Xu, Baowen

ACM transactions on architecture and code optimization, 2022-12, Vol.20 (1), p.1-25, Article 14 [Periódico revisado por pares]

New York, NY: ACM

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10
Polyhedral parallel code generation for CUDA
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Polyhedral parallel code generation for CUDA

Verdoolaege, Sven ; Carlos Juega, Juan ; Cohen, Albert ; Ignacio Gómez, José ; Tenllado, Christian ; Catthoor, Francky

ACM transactions on architecture and code optimization, 2013-01, Vol.9 (4), p.1-23 [Periódico revisado por pares]

Association for Computing Machinery

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