0% Complete
English
صفحه اصلی
/
پانزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Architectural Insights: Comparing Weight Stationary and Output Stationary Systolic Arrays for Efficient Computation
نویسندگان :
Mahdi Kalbasi
1
1- University of Isfahan
کلمات کلیدی :
Systolic arrays،Convolutional Neural Networks،Output stationary،Weight stationary
چکیده :
This paper compares two prevalent architectures in systolic arrays: weight stationary and output stationary methods. Systolic arrays utilize interconnected processing elements (PEs) to perform parallel processing, making them suitable for applications in digital signal processing, image processing, and machine learning. We focus on their implementation of 2D matrix multiplication, a fundamental operation in neural networks. Simulations were conducted using Verilog HDL within the Xilinx Vivado Design Suite 2019, employing a 3x1 input matrix and a 3x3 weight matrix. Results confirmed the functionality of both architectures, with output matrices matching expected results. Weight stationary designs minimized data movement, while output stationary designs enhanced throughput through effective input data reuse. With a critical path delay of approximately 8.8 ns, corresponding to a maximum frequency of about 113 MHz, the study highlights that the critical path remains stable when scaling the number of PEs. Overall, this research validates the effectiveness of both architectures in high-performance matrix operations, offering valuable insights for future systolic array designs.
لیست مقالات
لیست مقالات بایگانی شده
Predicting Suicide Risk in Adolescents with Random Forest for Unbalanced Data Management
Fatemeh Rabbani - Dr Behrooz Masoumi - Dr Mohammad Reza Keyvanpour
IT-based and Non-IT-based methods to separate and collect waste
Hoda Harati - Farzad Haghighi-Rad - Reza Yousefi Zenouz
A Community-Based Method for Identifying Influential Nodes using Network Embedding
Nargess Vafaei - Dr Mohammad Reza Keyvanpour
Information Technology Risk Management Model for Remote Control Vehicles
Hamid Reza Naji - Aref Ayati
An ESB-based Architecture for Authentication as a Service Through Enterprise Application Integration
Masoumeh Hashemi - Mehdi Sakhaei-nia - Morteza Yousef Sanati
An efficient hybrid approach for performance-based alternative design evaluation in systems engineering
Abbas Chaman Para - Maryam Nooraei Abadeh - Sondos Bahadori
StockFM: پیش بینی قیمت بازار بورس ایران به کمک مدل بنیادین سری زمانی
فاطمه چیت ساز - سامان هراتی زاده
مدیریت توأم منابع و خواب ایستگاه پایه مبتنی بر یادگیری تقویتی در شبکه های فوق متراکم با ارتباطات دو طرفه
طاهره رحمتی - بهروز شاهقلی قهفرخی
ارائه مدل یادگیری ماشین برای پیشبینی سریزمانی باینری از دیدگاه مسئلههای دستهبندی با کاربرد در پیشبینی نتهای موسیقی
نیلوفر ع��دلخانی - حسام عمرانپور
A Graph Attention-Based Autoencoder for Critical Path Anomaly Detection in Microservices
Mahdi Naderi - Hossein Momeni - Shayan Shahini
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.3.1