Media Summary: CCGRID2023 research poster presentation Title: ASPLOS'23: The 28th International Conference on Architectural Support for Programming Languages and Operating Systems ... Presented by Nitish Srivastava at HPCA2020, San Diego, CA, United States. Abstract:

Sparse Heterocl From Sparse Tensor - Detailed Analysis & Overview

CCGRID2023 research poster presentation Title: ASPLOS'23: The 28th International Conference on Architectural Support for Programming Languages and Operating Systems ... Presented by Nitish Srivastava at HPCA2020, San Diego, CA, United States. Abstract: Speaker: Jiajia Li Venue: SPCL_Bcast, recorded on 25 February, 2021 Abstract: This talk will present the recent development of ... Bruno Olshausen, UC Berkeley Computational Theories of the Brain. Saman Amarasinghe, a revered MIT professor in EECS, leads CSAIL's Commit compiler group. A driving force in compiler ...

Jun-Gi Jang, Jingrui He, Andrew Margenot, Hanghang Tong. A talk by Jan Laukemann (Intel Labs) in the NHR PerfLab seminar. Title: ALTO: Adaptive Linearized Storage of

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Sparse-HeteroCL: From Sparse Tensor Algebra toHighly Customized Accelerators on FPGAs
Sparseloop: An Analytical Approach to Sparse Tensor Accelerator Modeling @ MICRO 2022
ASPLOS'23 - Session 4C - The Sparse Abstract Machine
A Sparse Iteration Space Transformation Framework for Sparse Tensor Algebra
The Sparse Tensor Algebra Compiler
[HPCA'20] Tensaurus: A Versatile Accelerator for Mixed Sparse-Dense Tensor Computations
[PLDI24] Compilation of Modular and General Sparse Workspaces
[SPCL_Bcast] High-Performance Sparse Tensor Operations in HiParTI Library
Intro to Sparse Tensors and Spatially Sparse Neural Networks
The Sparse Manifold Transform
A Novel Approach To Compressing Sparse Data Tensors
KDD2026-DuET: Dual-View Tensor-to-Topology Spectral Adapter for Enhancing Sparse TensorFactorization
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Sparse-HeteroCL: From Sparse Tensor Algebra toHighly Customized Accelerators on FPGAs

Sparse-HeteroCL: From Sparse Tensor Algebra toHighly Customized Accelerators on FPGAs

CCGRID2023 research poster presentation Title:

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

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

Project website (w/ code): https://sparseloop.mit.edu/ Paper: https://sparseloop.mit.edu/documents/2022-micro-sparseloop.pdf ...

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

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

ASPLOS'23: The 28th International Conference on Architectural Support for Programming Languages and Operating Systems ...

A Sparse Iteration Space Transformation Framework for Sparse Tensor Algebra

A Sparse Iteration Space Transformation Framework for Sparse Tensor Algebra

Automatic generation of high-performance

The Sparse Tensor Algebra Compiler

The Sparse Tensor Algebra Compiler

Tensor

[HPCA'20] Tensaurus: A Versatile Accelerator for Mixed Sparse-Dense Tensor Computations

[HPCA'20] Tensaurus: A Versatile Accelerator for Mixed Sparse-Dense Tensor Computations

Presented by Nitish Srivastava at HPCA2020, San Diego, CA, United States. Abstract:

[PLDI24] Compilation of Modular and General Sparse Workspaces

[PLDI24] Compilation of Modular and General Sparse Workspaces

Compilation of Modular and General

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

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

Speaker: Jiajia Li Venue: SPCL_Bcast, recorded on 25 February, 2021 Abstract: This talk will present the recent development of ...

Intro to Sparse Tensors and Spatially Sparse Neural Networks

Intro to Sparse Tensors and Spatially Sparse Neural Networks

Today i want to go over the basics of

The Sparse Manifold Transform

The Sparse Manifold Transform

Bruno Olshausen, UC Berkeley https://simons.berkeley.edu/talks/bruno-olshausen-4-18-18 Computational Theories of the Brain.

A Novel Approach To Compressing Sparse Data Tensors

A Novel Approach To Compressing Sparse Data Tensors

Saman Amarasinghe, a revered MIT professor in EECS, leads CSAIL's Commit compiler group. A driving force in compiler ...

KDD2026-DuET: Dual-View Tensor-to-Topology Spectral Adapter for Enhancing Sparse TensorFactorization

KDD2026-DuET: Dual-View Tensor-to-Topology Spectral Adapter for Enhancing Sparse TensorFactorization

Jun-Gi Jang, Jingrui He, Andrew Margenot, Hanghang Tong.

ALTO: Adaptive Linearized Storage of Sparse Tensors

ALTO: Adaptive Linearized Storage of Sparse Tensors

A talk by Jan Laukemann (Intel Labs) in the NHR PerfLab seminar. Title: ALTO: Adaptive Linearized Storage of