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Deep Learning Algorithms
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Classroom Contents
Genomic Analysis at Scale - Mapping Irregular Computations to Advanced Architectures
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- 1 Introduction
- 2 Science Questions
- 3 Large Machines
- 4 Exoscale Computing
- 5 Specialization
- 6 Deep Learning Algorithms
- 7 Cost of Data Movement
- 8 Decoupling between GPU and CPU
- 9 Parallel algorithms
- 10 Metagenome assembly
- 11 Local assembly
- 12 Parallelization
- 13 Applications
- 14 Architectures
- 15 Hashing
- 16 Distributed Algorithm
- 17 Multicore Camera Counting
- 18 Minimizers
- 19 Alignment
- 20 GPU Optimized
- 21 Metahammer
- 22 Generalized Nbody
- 23 Long Read Overlap
- 24 Long Read Alignment
- 25 Communication Avoiding Algorithms
- 26 Bulk Synchronous Algorithms
- 27 Takeaways
- 28 QA
