Biography
Jakub is is a computer science researcher and a PhD student currently working at the IT4Innovations supercomputing center. His PhD research area is applying machine learning principles task scheduling, using graph neural networks and reinforcement learning. His research interests include distributed systems, code optimization and GPUs. Currently, he is an intern at the Scalable Parallel Computing Lab at ETH in Zurich.
Presentations
Paper
Data Management
GPUs
Memory
Networks
Performance
Software-defined networking
Sparse Computation
TP
Paper
Accelerators
Heterogeneous Systems
Performance
Portability
Simulation
Task-based programming
TP
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