V
Victor Pankratius
Researcher at Karlsruhe Institute of Technology
Publications - 53
Citations - 870
Victor Pankratius is an academic researcher from Karlsruhe Institute of Technology. The author has contributed to research in topics: Multi-core processor & Software development. The author has an hindex of 15, co-authored 51 publications receiving 848 citations. Previous affiliations of Victor Pankratius include Massachusetts Institute of Technology.
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Towards E-Learning Grids: Using Grid Computing in Electronic Learning
TL;DR: It is shown what advantages a utilization of grid computing may have to offer and which applications could benefit from it and an architecture for ane-learning grid is outlined, and the notion of a grid learning object is introduced.
Proceedings ArticleDOI
A study of transactional memory vs. locks in practice
TL;DR: A detailed case study comparing teams of programmers developing a parallel program from scratch using transactional memory and locks, finding that TM code was easier to understand than locks code, because the locks teams used many locks to improve performance.
Proceedings ArticleDOI
Software engineering for multicore systems: an experience report
TL;DR: An experience report with four diverse case studies on multicore software development for general-purpose applications, programmed in different languages and benchmarked on several multicore computers concludes that Tuneable architectural patterns with parallelism at several levels need to be discovered.
Proceedings ArticleDOI
Helgrind+: An efficient dynamic race detector
TL;DR: Helgrind+ is described, a dynamic race detection tool that incorporates correct handling of condition variables and a combination of the lockset algorithm and happens-before relation that reduces the number of both false negatives and false positives.
Journal ArticleDOI
Parallelizing Bzip2: A Case Study in Multicore Software Engineering
TL;DR: A case study of parallelizing a real program for multicore computers using currently available libraries and tools for sequential Bzip2 compression, a computing-intensive, widely used, and relevant application in everyday life.