Abstract Load imbalance is a long-standing source of inefficiency in high performance
computing. The situation has only got worse as applications and systems increase in …

This paper introduces Itoyori, a task-parallel runtime system designed to tackle the
challenge of scaling task parallelism (more specifically, nested fork-join parallelism) beyond …

The sequential task flow (STF) model introduces implicit data dependences to exploit task-
based parallelism, simplifying programming but also introducing non-negligible runtime …

As high‐performance computing (HPC) becomes a tool used in many different workflows,
quality of service (QoS) becomes increasingly important. In many cases, this includes the …

Task-based programming is a high performance and productive model to express
parallelism. Tasks encapsulate work to be executed across multiple cores or offloaded to …

Abstract The field of High-Performance Computing is rapidly evolving, driven by the race for
computing power and the emergence of new architectures. Despite these changes, the …

For decades, memory capabilities have scaled up much slower than compute capabilities,
leaving memory utilization as a major bottleneck. Prefetching and cache hierarchies mitigate …

In the last decades, the computing power of high-performance platforms has grown
exponentially at the expense of increased complexity. Programming such platforms to take …

Load imbalance is a long-standing source of inefficiency in high performance computing.
The situation has only got worse as applications and systems increase in complexity, eg …

Today's most powerful supercomputers achieve their performance through heterogeneous
system architectures that integrate CPUs with accelerators, especially GPUs, and advanced …