Advanced synchronization techniques for task-based runtime systems
Task-based programming models like OmpSs-2 and OpenMP provide a flexible data-flow
execution model to exploit dynamic, irregular and nested parallelism. Providing an efficient …
execution model to exploit dynamic, irregular and nested parallelism. Providing an efficient …
Wireframe: Supporting data-dependent parallelism through dependency graph execution in gpus
GPUs lack fundamental support for data-dependent parallelism and synchronization. While
CUDA Dynamic Parallelism signals progress in this direction, many limitations and …
CUDA Dynamic Parallelism signals progress in this direction, many limitations and …
Programmer-directed partial redundancy for resilient HPC
In this work we propose partial task replication and checkpointing for task-parallel HPC
applications to mitigate silent data corruption (SDC) errors. As the complete replication of all …
applications to mitigate silent data corruption (SDC) errors. As the complete replication of all …
Comparison of threading programming models
In this paper, we provide comparison of language features and runtime systems of
commonly used threading parallel programming models for high performance computing …
commonly used threading parallel programming models for high performance computing …
Vits: video tagging system from massive web multimedia collections
D Fernández, D Varas, J Espadaler… - Proceedings of the …, 2017 - openaccess.thecvf.com
The popularization of multimedia content on the Web has arised the need to automatically
understand, index and retrieve it. In this paper we present ViTS, an automatic Video Tagging …
understand, index and retrieve it. In this paper we present ViTS, an automatic Video Tagging …
Formalizing data locality in task parallel applications
Task-based programming provides programmers with an intuitive abstraction to express
parallelism, and runtimes with the flexibility to adapt the schedule and load-balancing to the …
parallelism, and runtimes with the flexibility to adapt the schedule and load-balancing to the …
Automatic risk-based selective redundancy for fault-tolerant task-parallel hpc applications
Silent data corruption (SDC) and fail-stop errors are the most hazardous error types in high-
performance computing (HPC) systems. In this study, we present an automatic, efficient and …
performance computing (HPC) systems. In this study, we present an automatic, efficient and …
Task-RM: a resource manager for energy reduction in task-parallel applications under quality of service constraints
Improving energy efficiency is an important goal of computer system design. This article
focuses on a general model of task-parallel applications under quality-of-service …
focuses on a general model of task-parallel applications under quality-of-service …
A runtime heuristic to selectively replicate tasks for application-specific reliability targets
In this paper we propose a runtime-based selective task replication technique for task-
parallel high performance computing applications. Our selective task replication technique is …
parallel high performance computing applications. Our selective task replication technique is …
Assessing one-to-one parallelism levels mapping for openmp offloading to gpus
The proliferation of accelerators in modern clusters makes efficient coprocessor
programming a key requirement if application codes are to achieve high levels of …
programming a key requirement if application codes are to achieve high levels of …