Letztes Semester

Wintersemester 2018/19


Paralleles Rechnen Seminar

Christian Hundt; Univ-Prof. Dr. Bertil Schmidt

Kurzname: 08.079.590
Kursnummer: 08.079.590



1. Quotient Filters: Approximate Membership Queries on the GPU
2. Design Principles for Sparse Matrix Multiplication on the GPU
3. A Dynamic Dictionary Data Structure for the GPU
4. Fast Equi-Join Algorithms on GPUs: Design and Implementation
5. Rethinking SIMD Vectorization for In-Memory Databases
6. Parallel Programming with Pictures is a Snap!
7. A Framework for the Automatic Vectorization of Parallel Sort on x86-based Processors
8. Generic accelerated sequence alignment in Seqan using vectorization and multithreading
9. Highly Ef?cient Compensation-based Parallelism for Wavefront Loops on GPUs
10. Fast algorithms for Convolutional Neural Networks
11. Darwin: A Genomics Co-processor Provides up to 15,000× acceleration on long read assembly
12. A Domain Specific Language for Developing Computational Genomics Applications
13. Kokkos: Enabling Maycore Performance Portability through Polymorphic Memory Access Patterns
14. Isoefficiency in Practice
15. self-suggested topic (requires approval by Prof. Schmidt)

Voraussetzungen / Organisatorisches


E-Mail mit 2 bevorzugten Themen bis spätestens 8.7.2018 an Prof. Bertil Schmidt schicken.
Ich werde daraufhin Ihnen ein Thema zuweisen
Es ist auch möglich eigenen Themen vorzuschlagen


Erfolgreiche Teilnahme an PAA oder HPC
Semester: WiSe 2018/19