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Sparseloop: An Analytical Approach to Sparse Tensor Accelerator Modeling @ MICRO 2022

Sparseloop: An Analytical Approach to Sparse Tensor Accelerator Modeling @ MICRO 2022

Sparseloop: An Analytical Approach to Sparse Tensor Accelerator Modeling @ MICRO 2022

Sparseloop: An Analytical Approach to Sparse Tensor Accelerator Modeling @ MICRO 2022

Systematic Modeling and Design of Sparse Tensor Accelerators [Nellie Wu]

Systematic Modeling and Design of Sparse Tensor Accelerators [Nellie Wu]

Sparse Tensor Accelerator Modeling Tutorial @ ISCA 2021 [Part 2] (6/6)

Sparse Tensor Accelerator Modeling Tutorial @ ISCA 2021 [Part 2] (6/6)

ASPLOS'23 - Session 4C - The Sparse Abstract Machine

ASPLOS'23 - Session 4C - The Sparse Abstract Machine

ASPLOS'23 - Session 4C - SPADA: Accelerating Sparse Matrix Multiplication with Adaptive Dataflow

ASPLOS'23 - Session 4C - SPADA: Accelerating Sparse Matrix Multiplication with Adaptive Dataflow

[SPCL_Bcast] High-Performance Sparse Tensor Operations in HiParTI Library

[SPCL_Bcast] High-Performance Sparse Tensor Operations in HiParTI Library

ASPLOS'23 - Session 1A - WACO: Learning Workload-Aware Co-optimization of the Format and Schedule of

ASPLOS'23 - Session 1A - WACO: Learning Workload-Aware Co-optimization of the Format and Schedule of

QCRI-MIT CSAIL collaborate on resource-efficient shared computing

QCRI-MIT CSAIL collaborate on resource-efficient shared computing

ICCD 2020 Keynote Prof. Vivienne Sze, MIT. How to Evaluate Efficient Deep Neural Network Approaches

ICCD 2020 Keynote Prof. Vivienne Sze, MIT. How to Evaluate Efficient Deep Neural Network Approaches

Vivienne Sze, ElecE 0T3 + PEY – 2T5 Mid-Career Achievement Award

Vivienne Sze, ElecE 0T3 + PEY – 2T5 Mid-Career Achievement Award

UofT Robotics Institute Seminar: Vivienne Sze

UofT Robotics Institute Seminar: Vivienne Sze