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1
Scheduling techniques for GPU architectures with processing-in-memory capabilities
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Ata de Congresso
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Scheduling techniques for GPU architectures with processing-in-memory capabilities

Pattnaik, Ashutosh ; Xulong Tang ; Adwait Jog ; Kayiran, Onur ; Mishra, Asit K. ; Kandemir, Mahmut T. ; Mutlu, Onur ; Das, Chita R.

2016 International Conference on Parallel Architecture and Compilation Techniques (PACT), 2016, p.31-44

ACM

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2
An architecture interface and offload model for low-overhead, near-data, distributed accelerators
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Ata de Congresso
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An architecture interface and offload model for low-overhead, near-data, distributed accelerators

Baskaran, Saambhavi ; Kandemir, Mahmut Taylan ; Sampson, Jack

2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2022, p.1160-1177

IEEE

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3
Pipelining a triggered processing element
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Ata de Congresso
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Pipelining a triggered processing element

Repetti, Thomas ; Cerqueira, João ; Kim, Martha ; Seok, Mingoo

2017 50th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2017, p.96-108

ACM

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4
Exploring Instruction Fusion Opportunities in General Purpose Processors
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Exploring Instruction Fusion Opportunities in General Purpose Processors

Singh, Sawan ; Perais, Arthur ; Jimborean, Alexandra ; Ros, Alberto

2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2022, p.199-212

IEEE

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5
AgilePkgC: An Agile System Idle State Architecture for Energy Proportional Datacenter Servers
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AgilePkgC: An Agile System Idle State Architecture for Energy Proportional Datacenter Servers

Antoniou, Georgia ; Volos, Haris ; Bartolini, Davide B. ; Rollet, Tom ; Sazeides, Yiannakis ; Yahya, Jawad Haj

2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2022, p.851-867

IEEE

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6
DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator
Material Type:
Ata de Congresso
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DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator

Zhang, Xiaofan ; Ye, Hanchen ; Wang, Junsong ; Lin, Yonghua ; Xiong, Jinjun ; Hwu, Wen-Mei ; Chen, Deming

2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2020, p.1-9

Association on Computer Machinery

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7
DRISA: a DRAM-based Reconfigurable In-Situ Accelerator
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DRISA: a DRAM-based Reconfigurable In-Situ Accelerator

Li, Shuangchen ; Niu, Dimin ; Malladi, Krishna ; Zheng, Hongzhong ; Brennan, Bob ; Xie, Yuan

2017 50th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2017, p.288-301

ACM

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8
Rescuing memristor-based neuromorphic design with high defects
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Ata de Congresso
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Rescuing memristor-based neuromorphic design with high defects

Chenchen Liu ; Miao Hu ; Strachan, John Paul ; Hai Li

2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC), 2017, p.1-6

IEEE

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9
Encoding, Model, and Architecture: Systematic Optimization for Spiking Neural Network in FPGAs
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Encoding, Model, and Architecture: Systematic Optimization for Spiking Neural Network in FPGAs

Fang, Haowen ; Mei, Zaidao ; Shrestha, Amar ; Zhao, Ziyi ; Li, Yilan ; Qiu, Qinru

2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2020, p.1-9

Association on Computer Machinery

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10
Morpheus: Extending the Last Level Cache Capacity in GPU Systems Using Idle GPU Core Resources
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Morpheus: Extending the Last Level Cache Capacity in GPU Systems Using Idle GPU Core Resources

Darabi, Sina ; Sadrosadati, Mohammad ; Akbarzadeh, Negar ; Lindegger, Joel ; Hosseini, Mohammad ; Park, Jisung ; Gomez-Luna, Juan ; Mutlu, Onur ; Sarbazi-Azad, Hamid

2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2022, p.228-244

IEEE

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