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Six papers accepted at ASPLOS 2023!
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Flexagon: A Multi-Dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing
Francisco Muñoz-Martinez, Raveesh Garg, Michael Pellauer, Jose L. Abellan, Manuel E. Acacio and Tushar Krishna
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FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks
Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Amir Yazdanbakhsh and Tushar Krishna
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Cooperative Concurrency Control for Write-Intensive Key-Value Workloads
Mark Sutherland, Babak Falsafi, Alexandros Daglis
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FrozenQubits: Boosting Fidelity of QAOA by Skipping Hotspot Nodes
Ramin Ayanzadeh, Narges Alavisamani, Poulami Das, Moinuddin Qureshi
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Skybox: Open-Source Graphic Rendering on Programmable RISC-V GPUs
Blaise Tine, Varun Saxena, Santosh Srivatsan, Joshua R. Simpson, Fadi Alzammar, Liam Paul Cooper, Sam Jijina, Swetha Rajagoplan, Tejaswini Anand Kumar, Jeff Young, Hyesoon Kim
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Decker: Attack Surface Reduction via On-Demand Code Mapping
Chris Porter, Sharjeel Khan, Santosh Pande
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