Streaming Capable High Performance Architecture

Streaming-capable high-performance architectures aim to optimize the execution of computationally intensive tasks by processing data in a continuous stream, rather than in discrete batches. Current research focuses on developing efficient streaming architectures for diverse applications, including anomaly detection (using ensemble methods and FPGA implementations), ontological reasoning (leveraging Datalog extensions), and accelerating deep learning models like YOLO for real-time object detection. These advancements are significant because they enable real-time processing of large datasets for various applications, from video streaming and image compression to autonomous systems and advanced analytics, improving both speed and energy efficiency.

Papers

August 24, 2024

StreamAAD: Decoding Spatial Auditory Attention with a Streaming Architecture
Zelin Qiu, Dingding Yao, Junfeng Li
Data Stream Invariant Feature Link Stream Auditory Attention Streaming Capable High Performance Architecture

June 10, 2024

fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection Library
Binglei Lou, David Boland, Philip H. W. Leong
Anomaly Detection State of the Art Anomaly FPGA Resource Streaming Capable High Performance Architecture

November 20, 2023

Ontological Reasoning over Shy and Warded Datalog$+/-$ for Streaming-based Architectures (technical report)
Teodoro Baldazzi, Luigi Bellomarini, Marco Favorito, Emanuel Sallinger
Technical Report Datalog Program Streaming Capable High Performance Architecture

September 4, 2023

SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices
Alexander Montgomerie-Corcoran, Petros Toupas, Zhewen Yu, Christos-Savvas Bouganis
YOLO Model FPGA Accelerator Edge Platform Streaming Capable High Performance Architecture

August 2, 2022

Streaming-capable High-performance Architecture of Learned Image Compression Codecs
Fangzheng Lin, Heming Sun, Jiro Katto
Image Compression Learned Image Compression Entropy Coding Encoder Decoder Framework Learned Image Streaming Capable High Performance Architecture

May 26, 2022

Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array
Andre Xian Ming Chang, Parth Khopkar, Bashar Romanous, Abhishek Chaurasia, Patrick Estep, Skyler Windh, Doug Vanesko, Sheik Dawood Beer Mohideen, Eugenio Culurciello
Proximal Policy Optimization Reinforcement Learning Approach Sequential Manipulation Streaming Capable High Performance Architecture Coarse Grained Reconfigurable Array

Streaming Capable High Performance Architecture

Papers

StreamAAD: Decoding Spatial Auditory Attention with a Streaming Architecture

fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection Library

Ontological Reasoning over Shy and Warded Datalog$+/-$ for Streaming-based Architectures (technical report)

SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices

Streaming-capable High-performance Architecture of Learned Image Compression Codecs

Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array