Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Adding DRAM and SRAM support for the NoC Generator
KTH, School of Information and Communication Technology (ICT).
2013 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

A NoC generator tool that generate an arbitrarily large Multi-core platform, targeted for single-chip FPGA platforms was developed in 2011 by Johnny Öberg and Francesco Robino in the department of electronic system, KTH, Sweden. In the current implementation of the platform, only on-chip memory is supported. However, the size of the data the system needs to handle is often too large to fit in those memories. Thus, external memory access to both SRAM and SDRAM on the FPGA board is needed. Adding external memories to an FPGA system takes a lot of time and hard studies in the Altera platform handbooks. Adding this feature to the NoC generator would save a lot of time for the platform developers

In this thesis, an example design using external memories is analysed to obtain the necessary information needed to update the NoC generator to support SRAM and SDRAM.

Place, publisher, year, edition, pages
2013. , 35 p.
Series
Trita-ICT-EX, 2013:168
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-128725OAI: oai:DiVA.org:kth-128725DiVA: diva2:648528
Educational program
Master of Science in Engineering - Microelectronics
Examiners
Available from: 2013-09-16 Created: 2013-09-16 Last updated: 2013-09-16Bibliographically approved

Open Access in DiVA

fulltext(619 kB)481 downloads
File information
File name FULLTEXT01.pdfFile size 619 kBChecksum SHA-512
e45cd0bc8199a3c3446f24b11718adc86c529808d2ed730fe63b5da2f635fbdd3a6afa15b9d0f5db7c11f248f761ba931f7ac28d116eff89c47404ef3cabc44c
Type fulltextMimetype application/pdf

By organisation
School of Information and Communication Technology (ICT)
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 481 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 168 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf