4 papers
Sparse by Command: Task-Conditional Compute Skipping for Multi-Task Inference Accelerators
Afzal Ahmad, Gaoyu Mao, Shoubo Hu +4
Multi-task inference models share a single backbone across diverse tasks, yet execute identical computation regardless of which task is active - wasting energy and cycles on task-i…
DAPO: Design Structure-Aware Pass Ordering in High-Level Synthesis with Graph Contrastive and Reinforcement Learning
Jinming Ge, Linfeng Du, Likith Anaparty +8
High-Level Synthesis (HLS) tools are widely adopted in FPGA-based domain-specific accelerator design. However, existing tools rely on fixed optimization strategies inherited from s…
Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS
Afzal Ahmad, Linfeng Du, Zhiyao Xie +1
One of the primary challenges impeding the progress of Neural Architecture Search (NAS) is its extensive reliance on exorbitant computational resources. NAS benchmarks aim to simul…
Fast and Practical Strassen's Matrix Multiplication using FPGAs
Afzal Ahmad, Linfeng Du, Wei Zhang
Matrix multiplication is a cornerstone operation in a wide array of scientific fields, including machine learning and computer graphics. The standard algorithm for matrix multiplic…