18 citations · 31 across the 7 of their papers we have counts for
7 papers
A3C3: AI Algorithm and Accelerator Co-design, Co-search, and Co-generation
Selin Yildirim, Yingbing Huang, Deming Chen
We present a holistic methodology for artificial intelligence algorithm and accelerator co-design, co-search, and co-generation (A3C3), which jointly optimizes neural network archi…
CASCADE: Context-Aware Relaxation for Speculative Image Decoding
Selin Yildirim, Subhajit Dutta Chowdhury, Mohammad Mahdi Kamani +2
Autoregressive generation is a powerful approach for high-fidelity image synthesis, but it remains computationally demanding and slow even on the most advanced accelerators. While…
StreamTensor: Make Tensors Stream in Dataflow Accelerators for LLMs
Hanchen Ye, Deming Chen
Efficient execution of deep learning workloads on dataflow architectures is crucial for overcoming memory bottlenecks and maximizing performance. While streaming intermediate resul…
New Solutions on LLM Acceleration, Optimization, and Application
Yingbing Huang, Lily Jiaxin Wan, Hanchen Ye +5
Large Language Models (LLMs) have become extremely potent instruments with exceptional capacities for comprehending and producing human-like text in a wide range of applications. H…
SnapKV: LLM Knows What You are Looking for Before Generation
Yuhong Li, Yingbing Huang, Bowen Yang +6
Large Language Models (LLMs) have made remarkable progress in processing extensive contexts, with the Key-Value (KV) cache playing a vital role in enhancing their performance. Howe…
Subgraph Extraction-based Feedback-guided Iterative Scheduling for HLS
Hanchen Ye, David Z. Pan, Chris Leary +2
This paper proposes ISDC, a novel feedback-guided iterative system of difference constraints (SDC) scheduling algorithm for high-level synthesis (HLS). ISDC leverages subgraph extr…
HIDA: A Hierarchical Dataflow Compiler for High-Level Synthesis
Hanchen Ye, Hyegang Jun, Deming Chen
Dataflow architectures are growing in popularity due to their potential to mitigate the challenges posed by the memory wall inherent to the Von Neumann architecture. At the same ti…