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FireSim:FPGA-Accelerated Cycle-Exact Scale-Out System Simulation in the Public Cloud （ISCA2018）

1

[FireSim PAPER](https://sagark.org/assets/pubs/firesim-isca2018.pdf) https://github.com/firesim/firesim

meton-robean

[Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISC-V SoC on FireSim EMC2’19](https://www.emc2-workshop.com/assets/docs/hpca-19/paper3.pdf) > Integrating Verilog designs into FireSim

meton-robean

PyMTLv3：Mamba: Closing the Performance Gap in Productive Hardware Development Frameworks （DAC)

3

[PyMTLv3：Mamba: Closing the Performance Gap in Productive Hardware Development Frameworks （DAC)](http://www.csl.cornell.edu/~cbatten/pdfs/jiang-mamba-dac2018.pdf)

meton-robean

Co-Designing Accelerators and SoC Interfaces using gem5-Aladdin（MICRO2016）

3

[Co-Designing Accelerators and SoC Interfaces using gem5-Aladdin（MICRO2016](https://ysshao.github.io/assets/papers/shao2016-micro.pdf)

meton-robean

Scalable LLVM-Based Accelerator Modeling in gem5

2

[Scalable LLVM-Based Accelerator Modeling in gem5](https://ieeexplore.ieee.org/abstract/document/8621036) 发表在IEEE Computer Architecture Letters中，这在CECA中是A类， 没有纳入CCF中 这是篇关于 LLVM-BASEDDATA-PATHSIMULATION的论文

meton-robean

GANAX: A UnifiedMIMD-SIMD Acceleration for Generative Adversarial Networks

1

[GANAX: A UnifiedMIMD-SIMD Acceleration for Generative Adversarial Networks](https://arxiv.org/pdf/1806.01107.pdf)

meton-robean

Cambricon: An Instruction Set Architecture for Neural Networks

5

[Cambricon: An Instruction Set Architecture for Neural Networks](https://pdfs.semanticscholar.org/09ba/89e7feb19e2a064236df08e1e01c6cf49309.pdf)

meton-robean

ShiDianNao: Shifting vision processing closer to the sensor(ISCA15)

6

[ShiDianNao: Shifting vision processing closer to the sensor](https://lap.epfl.ch/wp-content/uploads/2018/05/DuJun15_ShiDianNaoShiftingVisionProcessingCloserToTheSensor_ISCA15.pdf) 这篇论文在创新方面比不上 Diannao ， Cambricon等等， 但是相对于之前论文，**他在加速器设计细节上讲的非常详细！！**

meton-robean

Exploiting Locality in Graph Analytics through Hardware-Accelerated Traversal Scheduling(MICRO2018)

5

[Exploiting Locality in Graph Analytics through Hardware-Accelerated Traversal Scheduling](https://www.pdl.cmu.edu/PDL-FTP/associated/2018.hats.micro.pdf) 

meton-robean

An Architectural Framework for Accelerating Dynamic Parallel Algorithms on Reconfigurable Hardware(MICRO 2018)

6

[An Architectural Framework for Accelerating Dynamic Parallel Algorithms on Reconfigurable Hardware](https://cpb-us-w2.wpmucdn.com/sites.coecis.cornell.edu/dist/7/89/files/2016/08/parallelxl-micro2018-10bi0tp.pdf) 

meton-robean