ETD

Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-11152015-211525

Tipo di tesi

Tesi di laurea magistrale

URN

etd-11152015-211525

Titolo

Optimization of Parallel Computations on Heterogeneous GPU-Based Systems

Dipartimento

INFORMATICA

Corso di studi

INFORMATICA E NETWORKING

Parole chiave

GPGPU

Data inizio appello

04/12/2015

Consultabilità

Completa

Riassunto (Inglese)

Riassunto (Italiano)

In this master thesis, we design and implement MultiStream: a solution that extends the existing data parallel skeleton library SkePU with NVIDIA CUDA Streams to overlap main memory – device memory data transfers with CUDA Kernel executions.
We show the benefits of this approach using a task-parallel framework, FastFlow, on-top of SkePU.
Finally, we compare the MultiStream extended SkePU to an ad-hoc solution to discuss the tradeoffs between the level of abstraction and the maximum achievable performance.

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