Sökning: "HLS"

Visar resultat 1 - 5 av 40 uppsatser innehållade ordet HLS.

1. 1. Optimizing on-chip Machine Learning for Data Prefetching

   Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Hampus Larsson; Miranda Jernberg; Albin Pansell; Fabian Stigsson; Fredrik Hamrefors; Pontus Söderström; [2023-03-03]
   Nyckelord :Data Prefetching; Machine Learning; HW SW co-Design; HLS; FPGA;

   Sammanfattning : The idea behind data prefetching is to speed up program execution by predicting what data is needed by the processor, before it is actually needed. Data prefetching is commonly performed by prefetching the next memory address in line, but there are other, more sophisticated approaches such as machine learning. LÄS MER

3. 2. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Javier Ferre Martin; [2023]
   Nyckelord :Space Situational Awareness; Deep Learning; Convolutional Neural Networks; FieldProgrammable Gate Arrays; System-On-Chip; Computer Vision; Dynamic Partial Reconfiguration; High-Level Synthesis; Rymdsituationstänksamhet; Djupinlärning; Konvolutionsnätverk; Omkonfigurerbara Field-Programmable Gate Arrays FPGAs ; System-On-Chip SoC ; Datorseende; Dynamisk partiell omkonfigurering; Högnivåsyntes.;

   Sammanfattning : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. LÄS MER

4. 3. Optimizing the instruction scheduler of high-level synthesis tool

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Zihao Xu; [2023]
   Nyckelord :Instruction scheduling; Scheduling algorithm; CGRA; High-level Sythnesis; SiLago; Algorithm-level Synthesis; Constraint programming; Instruktion schemaläggning; schemaläggning algoritm; CGRA; High-level Sythnesis; SiLago; Algoritm-nivå Synthesis; Constraint programmering;

   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

5. 4. Novel Method of ASIC interface IP development using HLS

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Anestis Athanasiadis; Chandranshu Mishra; [2023]
   Nyckelord :High Level Synthesis; HLS; Untimed C ; Control logic; I3C; clock-accurate design; IP development; Technology and Engineering;

   Sammanfattning : High-Level Synthesis(HLS) is a design methodology that enables designers to implement hardware from high-level coding languages, such as C, C++, or System C. It provides designers with the ability to convey their design at a higher level of abstraction, which allows more emphasis on an algorithm and functional aspects of design instead on low-level hardware details. LÄS MER

7. 5. A Study on Fault Tolerance of Object Detector Implemented on FPGA

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Tiancheng Yang; [2023]
   Nyckelord :Object detection; YOLO-v3-tiny; Fault tolerance; FPGA; VHDL; Hardware accelerator; Triple-modular redundancy; Time redundancy; Stuck-at-faults;

   Sammanfattning : Objektdetektering har fått stort forskningsintresse de senaste åren, eftersom det är maskiners ögon och är en grundläggande uppgift inom datorseende som syftar till att identifiera och lokalisera föremål av intresse. Hårdvaruacceleratorer syftar vanligtvis till att öka genomströmningen för realtidskrav samtidigt som energiförbrukningen sänks. LÄS MER