Research Output per year
Fingerprint Dive into the research topics where bernd Burgstaller is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Program processors
Engineering & Materials Science
Data storage equipment
Engineering & Materials Science
Computer programming languages
Engineering & Materials Science
Decoding
Engineering & Materials Science
Algebra
Engineering & Materials Science
Finite automata
Engineering & Materials Science
Synchronization
Engineering & Materials Science
Memory architecture
Engineering & Materials Science
Network
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Research Output 1996 2019
2
Citations
(Scopus)
Self-learnable cluster-based prefetching method for DRAM-flash hybrid main memory architecture
Yoon, S. K., Youn, Y. S., Burgstaller, B. & Kim, S. D., 2019 Jan 1, In : ACM Journal on Emerging Technologies in Computing Systems. 15, 1, 10.Research output: Contribution to journal › Article
Memory architecture
Flash memory
Data storage equipment
Energy utilization
Scalability
1
Citation
(Scopus)
Regression prefetcher with preprocessing for DRAM-PCM hybrid main memory
Yun, J. T., Yoon, S. K., Kim, J. G., Burgstaller, B. & Kim, S-D., 2018 Jul 1, In : IEEE Computer Architecture Letters. 17, 2, p. 163-166 4 p.Research output: Contribution to journal › Article
Pulse code modulation
Dynamic random access storage
Data storage equipment
Processing
Energy utilization
Safe non-blocking synchronization in Ada2x
Blieberger, J. & Burgstaller, B., 2018 Jan 1, Reliable Software Technologies – Ada-Europe 2018 - 23rd Ada-Europe International Conference on Reliable Software Technologies, Proceedings. Casimiro, A. & Ferreira, P. M. (eds.). Springer Verlag, p. 53-69 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10873 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Synchronization
Concurrent
Data storage equipment
Labels
High level languages
1
Citation
(Scopus)
Scalability and state: A critical assessment of throughput obtainable on big data streaming frameworks for applications with and without state information
Yang, S., Jeong, Y., Hong, C., Jun, H. & Burgstaller, B., 2018 Jan 1, Euro-Par 2017: Parallel Processing Workshops - Euro-Par 2017 International Workshops. Heras, D. B. & Bouge, L. (eds.). Springer Verlag, p. 141-152 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10659 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Streaming Data
Streaming
Scalability
Throughput
Engines
1
Citation
(Scopus)
Dynamically Selective Performance Optimization Method for Mobile 3D Graphics Application with N-Screen Service
Piao, J. C., Cho, C. W., Kim, C. G., Burgstaller, B. & Kim, S-D., 2017 Jun 1, In : Wireless Personal Communications. 94, 3, p. 369-391 23 p.Research output: Contribution to journal › Article
Application programming interfaces (API)
Image quality
Bandwidth
Degradation
Processing
Press / Media
Fantom partners with Yonsei University to drive smart contract development
19/4/11
1 item of media coverage
Press/Media: Press / Media