1 code implementation • 23 Apr 2024 • Kaustubh Shivdikar, Nicolas Bohm Agostini, Malith Jayaweera, Gilbert Jonatan, Jose L. Abellan, Ajay Joshi, John Kim, David Kaeli
We introduce a rolling eviction strategy to mitigate data idling in on-chip memory as well as address the prevalent issue of memory bloat in sparse graph computations.
no code implementations • 16 Dec 2023 • Kaustubh Shivdikar
In this thesis, we aim to develop a better understanding of how GNNs interact with the underlying hardware and will leverage this knowledge as we design specialized accelerators and develop new optimizations, leading to more efficient and faster GNN computations.
1 code implementation • 14 Dec 2023 • Hongwu Peng, Xi Xie, Kaustubh Shivdikar, MD Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David Kaeli, Caiwen Ding
In this paper, we present MaxK-GNN, an advanced high-performance GPU training system integrating algorithm and system innovation.
no code implementations • 29 May 2021 • Kaustubh Shivdikar
One approach to tackle this problem is to use an inner product method for the SpGEMM kernel implementation.