dc.contributor.author | Trancoso, Pedro | en |
dc.contributor.author | Charalambous, Maria | en |
dc.creator | Trancoso, Pedro | en |
dc.creator | Charalambous, Maria | en |
dc.date.accessioned | 2019-11-13T10:42:30Z | |
dc.date.available | 2019-11-13T10:42:30Z | |
dc.date.issued | 2005 | |
dc.identifier.isbn | 0-7695-2433-8 | |
dc.identifier.isbn | 978-0-7695-2433-7 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/55076 | |
dc.description.abstract | Graphics processors are designed to perform many floating-point operations per second. Consequently, they are an attractive architecture for high-performance computing at a low cost. Nevertheless, it is still not very clear how to exploit all their potential for general-purpose applications. In this work we present a comprehensive study of the performance of an application executing on the GPU. In addition, we analyze the possibility of using the graphics card to extend the life-time of a computer system. In our experiments we compare the execution on a mid-class GPU (NVIDIA GeForce FX 5700LE) with a high-end CPU (Pentium 4 3.2GHz). The results show that to achieve high speedup with the GPU you need to: (1) format the vectors into two-dimensional arrays | en |
dc.description.abstract | (2) process large data arrays | en |
dc.description.abstract | and (3) perform a considerable amount of operations per data element. Finally, we study the performance when upgrading a low-end system by simply adding a GPU. This solution is cheaper, results in smaller power consumption and achieves higher speedup (8.1x versus 1.3x) than a full upgrade to a new high-end system. © 2005 IEEE. | en |
dc.source | Proceedings - DSD'2005: 8th Euromicro Conference on Digital System Design - Architectures, Methods and Tools | en |
dc.source | DSD'2005: 8th Euromicro Conference on Digital System Design | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-33845330575&doi=10.1109%2fDSD.2005.40&partnerID=40&md5=48cda4c0daf28a1a50b7f63adf5df351 | |
dc.subject | Computer architecture | en |
dc.subject | Power consumption | en |
dc.subject | Data reduction | en |
dc.subject | Computer systems | en |
dc.subject | Graphic methods | en |
dc.subject | Computer aided design | en |
dc.subject | Program processors | en |
dc.subject | GPU | en |
dc.subject | Graphics processors | en |
dc.subject | Floating point operations | en |
dc.title | Exploring graphics processor performance for general purpose applications | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1109/DSD.2005.40 | |
dc.description.volume | 2005 | |
dc.description.startingpage | 306 | |
dc.description.endingpage | 313 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Conference code: 68752 | en |
dc.description.notes | Cited By :17</p> | en |
dc.contributor.orcid | Trancoso, Pedro [0000-0002-2776-9253] | |
dc.gnosis.orcid | 0000-0002-2776-9253 | |