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Map** and scheduling HPC applications for optimizing I/O
In HPC platforms, concurrent applications are sharing the same file system. This can lead to
conflicts, especially as applications are more and more data intensive. I/O contention can …
conflicts, especially as applications are more and more data intensive. I/O contention can …
Scheduling parallel tasks under multiple resources: List scheduling vs. pack scheduling
Scheduling in High-Performance Computing (HPC) has been traditionally centered around
computing resources (eg, processors/cores). The ever-growing amount of data produced by …
computing resources (eg, processors/cores). The ever-growing amount of data produced by …
Greenpar: Scheduling parallel high performance applications in green datacenters
We propose GreenPar, a scheduler for parallel high-perormance applications in datacenters
partially powered by on-site generation of renewable (" green'') energy. GreenPar schedules …
partially powered by on-site generation of renewable (" green'') energy. GreenPar schedules …
Co-scheduling algorithms for high-throughput workload execution
This paper investigates co-scheduling algorithms for processing a set of parallel
applications. Instead of executing each application one by one, using a maximum degree of …
applications. Instead of executing each application one by one, using a maximum degree of …
Novel fairness-aware co-scheduling for shared cache contention game on chip multiprocessors
Threads running on different cores of chip multiprocessors (CMP) can cause thread
performance degradation due to contention for shared resources such as shared L2 cache …
performance degradation due to contention for shared resources such as shared L2 cache …
Resilient co-scheduling of malleable applications
Recently, the benefits of co-scheduling several applications have been demonstrated in a
fault-free context, both in terms of performance and energy savings. However, large-scale …
fault-free context, both in terms of performance and energy savings. However, large-scale …
Algorithms for preemptive co-scheduling of kernels on GPUs
L Eyraud-Dubois, C Bentes - 2020 IEEE 27th International …, 2020 - ieeexplore.ieee.org
Modern GPUs allow concurrent kernel execution and preemption to improve hardware
utilization and responsiveness. Currently, the decision on the simultaneous execution of …
utilization and responsiveness. Currently, the decision on the simultaneous execution of …
Resilient application co-scheduling with processor redistribution
Recently, the benefits of co-scheduling several applications have been demonstrated in a
fault-free context, both in terms of performance and energy savings. However, large-scale …
fault-free context, both in terms of performance and energy savings. However, large-scale …
Resilient application co-scheduling with processor redistribution
Recently, the benefits of co-scheduling several applications have been demonstrated in a
fault-free context, both in terms of performance and energy savings. However, large-scale …
fault-free context, both in terms of performance and energy savings. However, large-scale …
Co-scheduling high-performance computing applications
82Big data applications play an increasing role in high-performance computing. They are
perfect candidates for co-scheduling, as they obey flexible speedup models, alternating I/O …
perfect candidates for co-scheduling, as they obey flexible speedup models, alternating I/O …