Sökning: "CGRA"
Visar resultat 1 - 5 av 13 uppsatser innehållade ordet CGRA.
1. Optimizing the instruction scheduler of high-level synthesis tool
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the increasing complexity of the chip architecture design for meeting different application requirements, the corresponding instruction scheduler of high-level synthesis tool needs to solve complex scheduling problems. Dynamically Reconfigurable Resource Array (DRRA) is a novel architecture based on Coarse-Grained Reconfigurable Architecture (CGRA) on SiLago platform, the instruction scheduler of Vesyla-II, the dedicated High-Level Synthesis (HLS) tool targets for DRRA needs to schedule the specific instruction sets designed for Distributed Two-level Control System (D2LC). LÄS MER
2. A General Purpose Near Data Processing Architecture Optimized for Data-intensive Applications
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : In recent years, as Internet of Things (IoT) and machine learning technologies have advanced, there has been increasing interest in the study of energy-efficient and flexible architectures for embedded systems. To bridge the performance gap between microprocessors and memory systems, Near-Data Processing (NDP) was introduced. LÄS MER
3. Develop a Graphical User Interface for the assembler for SiLago Platform
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Vesyla-II is developed as the High-Level Synthesis (HLS) tool serving the SiLago platform. The assembler Manas is a part of the Coarse Grain Reconfigurable Architectures (CGRA) compiler in Vesyla-II, which is used to transform the information from source code into the target language. LÄS MER
4. Acoarse grain reconfigurable memory architecture for linear algebra and deep neural networks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Companies and institutions around the world have been working to develop machines with always more computing power. This race has now found its new objective: hexascale computing (with 1018 flops machines). LÄS MER
5. Mapping quantized convolutional layers on the SiLago platform
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Convolutional neural networks (CNNs) have been utilized in various applications, such as image classification, computer vision, etc. With development, the complexity and computation of CNNs also increase, which requires more memory and resources when deployed on devices, especially embedded systems. LÄS MER