Titlebook: Asynchronous Many-Task Systems and Applications; Second International Patrick Diehl,Joseph Schuchart,George Bosilca Conference proceedings

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,Optimizing Parallel System Efficiency: Dynamic Task Graph Adaptation with Recursive Tasks,zes within task graphs, but determining optimal granularity during graph submission is tedious. To overcome this, we extend StarPU’s STF recursive tasks model, enabling dynamic transformation of tasks into subgraphs. Early evaluations on homogeneous shared memory reveal that this just-in-time adaptation enhances performance.

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OWL

,MatRIS: Addressing the Challenges for Portability and Heterogeneity Using Tasking for Matrix Decompansfer. This study describes how the serial task abstraction of a tiled Cholesky factorization is made portable and scalable in the case of multi-device and multi-vendor heterogeneity on a node with NVIDIA and AMD GPUs by using MatRIS. First, we demonstrate that Cholesky in MatRIS provides multi-GPU

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,Dynamic Tuning of Core Counts to Maximize Performance in Object-Based Runtime Systems,e system,  Charm++. We show performance benefit of dynamic profiling and adaptively selecting core (physical or virtual) count for a variety of applications including compute, memory and cache-intensive applications. Specifically, we show that our mechanism can improve performance by almost 40% in p

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