As parallel jobs get bigger in size and finer in granularity, “system noise ” is increasingly becoming a problem. In fact, fine-grained jobs on clusters with thousands of SMP nodes run faster if a processor is intentionally left idle (per node), thus enabling a separation of “system noise ” from the com-putation. Paying a cost in average processing speed at a node for the sake of eliminating occasional processes delays is (unfortunately) beneficial, as such delays are enormously magnified when one late process holds up thousands of peers with which it synchronizes. We provide a probabilistic argument showing that, under certain conditions, the effect of such noise is linearly pro-portional to the size of the cluster (as is often empirically...
Hardware/software co-design for future-generation high-performance computing (HPC) systems aims at c...
Abstract. Time-sharing operating systems may delay application processing of incoming messages becau...
Gang Scheduling improves the performance of parallel programs by running all child processes concurr...
As parallel jobs get bigger in size and finer in granularity, “system noise ” is increasingly becomi...
We investigate operating system noise, which we identify as one of the main reasons for a lack of sy...
Abstract. It is increasingly becoming evident that operating system interference in the form of daem...
Numerous studies have shown that Operating System (OS) noise is one of the reasons for significant p...
Recent studies have shown that operating system (OS) interference, popularly called OS noise can be ...
Numerous studies have shown that Operating System (OS) noise is one of the reasons for significant p...
The operating system noise can interfere with normal execution programs. This behavior is becoming e...
Many contemporary HPC systems expose their jobs to substantial amounts of interference, leading to s...
Developers of scalable libraries and applications for distributed-memory parallel systems face many ...
In software running on distributed computing clusters, time spent on communication between nodes in ...
Numerous studies have shown that Operating System (OS) noise is one of the reasons for significant p...
Application scalability can be significantly impacted by node level performance variability in HPC. ...
Hardware/software co-design for future-generation high-performance computing (HPC) systems aims at c...
Abstract. Time-sharing operating systems may delay application processing of incoming messages becau...
Gang Scheduling improves the performance of parallel programs by running all child processes concurr...
As parallel jobs get bigger in size and finer in granularity, “system noise ” is increasingly becomi...
We investigate operating system noise, which we identify as one of the main reasons for a lack of sy...
Abstract. It is increasingly becoming evident that operating system interference in the form of daem...
Numerous studies have shown that Operating System (OS) noise is one of the reasons for significant p...
Recent studies have shown that operating system (OS) interference, popularly called OS noise can be ...
Numerous studies have shown that Operating System (OS) noise is one of the reasons for significant p...
The operating system noise can interfere with normal execution programs. This behavior is becoming e...
Many contemporary HPC systems expose their jobs to substantial amounts of interference, leading to s...
Developers of scalable libraries and applications for distributed-memory parallel systems face many ...
In software running on distributed computing clusters, time spent on communication between nodes in ...
Numerous studies have shown that Operating System (OS) noise is one of the reasons for significant p...
Application scalability can be significantly impacted by node level performance variability in HPC. ...
Hardware/software co-design for future-generation high-performance computing (HPC) systems aims at c...
Abstract. Time-sharing operating systems may delay application processing of incoming messages becau...
Gang Scheduling improves the performance of parallel programs by running all child processes concurr...