Ashish Gondimalla

According to our database, Ashish Gondimalla authored at least 4 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Occam: Optimal Data Reuse for Convolutional Neural Networks.

Ashish Gondimalla, Jianqiao Liu, Mithuna Thottethodi, T. N. Vijaykumar

ACM Trans. Archit. Code Optim., March, 2023

Eureka: Efficient Tensor Cores for One-sided Unstructured Sparsity in DNN Inference.

Ashish Gondimalla, Mithuna Thottethodi, T. N. Vijaykumar

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

2021

Barrier-Free Large-Scale Sparse Tensor Accelerator (BARISTA) For Convolutional Neural Networks.

Ashish Gondimalla, Sree Charan Gundabolu, T. N. Vijaykumar, Mithuna Thottethodi

CoRR, 2021

2019

SparTen: A Sparse Tensor Accelerator for Convolutional Neural Networks.

Ashish Gondimalla, Noah Chesnut, Mithuna Thottethodi, T. N. Vijaykumar

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019