Abstract: Approximate computing has emerged as a powerful solution for error-tolerant applications where perfect accuracy is not mandatory. Among arithmetic units, parallel prefix adders (PPAs) are ...

Abstract: A precision-scalable neural processing unit, considering the quantization-sensitive of each neural network layer, has large hardware redundancy in multiplication units and shift logics. In ...

Abstract: Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) parallel programs are pivotal for scalability and efficiency in high-performance computing (HPC), especially as ...

Abstract: Low-light image augmentation is crucial in many applications where visibility is regularly impeded by suboptimal lighting, such as autonomous driving, surveillance, and medical imaging.

Abstract: Foundation models (FMs) have revolutionized generative AI (GAI) lifecycle with their pre-trained intelligence capabilities. While the recent success of Web-based models like GPT-4 has ...

Abstract: Serverless computing is an emerging cloud computing paradigm with the goal of freeing developers from resource management issues. As of today, serverless computing platforms are mainly used ...

Abstract: In this paper, an efficient multi-precision multimode floating-point Processing Element is designed for HPCenabled AI workloads, called PolyPE, in which Poly means multiprecision multi-mode.

Abstract: Knowledge Tracing (KT) aims to model students' evolving knowledge states and predict their future performance. Traditional sequential models often struggle with long-range dependencies due ...

Abstract: Point cloud processing is fundamental to applications such as autonomous driving, robotic navigation, and 3D reconstruction. Sampling is a crucial process in point cloud processing, but ...