The Cornell Theory Center (CTC) put a 512-node IBM SP2 system into production in early 1995, and extended traces of batch jobs began to be collected in June of that year. An analysis of the workload shows that it has not only grown, but that its characteristics have changed over time. In particular, job duration increased with time, indicative of an expanding production workload. In addition, there was increasing use of parallelism. As the load has increased and larger jobs have become more frequent, the batch management software (IBM's LoadLeveler) has had difficulty in scheduling the requested resources. New policies were established to improve the situation. This paper will profile how the workload has changed over time and give anin-...
grantor: University of TorontoUnderstanding the characteristics of parallel workloads aids...
Human mental workload is one of the most important factors in cognitive task allocation of system de...
The size and capacity of datacenters has grown over time, and today, datacentershave become a signif...
Parallel computers have matured to the point where they are capable of running a significant product...
The analysis of workload traces from real production parallel machines can aid a wide variety of par...
There has been little published about the characteristics of computer jobs running on modern time-sh...
Abstract. The performance of supercomputer schedulers is greatly af-fected by the characteristics of...
Resource management and job scheduling is a crucial task on large-scale computing systems. Despite y...
High performance computing (HPC) scheduling landscape currently faces new challenges due to the chan...
Approximately five years ago scientists discovered that modern UNLX workstations connected with ethe...
The IBM Advanced Systems Development and Research Library in San Jose became a pioneer in mechaniza...
Proper workload analysis is often overlooked in performance and reliability studies of computing sys...
In this article we provide brief descriptions of three classes of schedulers: Operating Systems P...
The research that we have performed in collaboration with IBM uses sampled event traces, which were ...
High performance computing (HPC) scheduling landscape currently faces new challenges due to the chan...
grantor: University of TorontoUnderstanding the characteristics of parallel workloads aids...
Human mental workload is one of the most important factors in cognitive task allocation of system de...
The size and capacity of datacenters has grown over time, and today, datacentershave become a signif...
Parallel computers have matured to the point where they are capable of running a significant product...
The analysis of workload traces from real production parallel machines can aid a wide variety of par...
There has been little published about the characteristics of computer jobs running on modern time-sh...
Abstract. The performance of supercomputer schedulers is greatly af-fected by the characteristics of...
Resource management and job scheduling is a crucial task on large-scale computing systems. Despite y...
High performance computing (HPC) scheduling landscape currently faces new challenges due to the chan...
Approximately five years ago scientists discovered that modern UNLX workstations connected with ethe...
The IBM Advanced Systems Development and Research Library in San Jose became a pioneer in mechaniza...
Proper workload analysis is often overlooked in performance and reliability studies of computing sys...
In this article we provide brief descriptions of three classes of schedulers: Operating Systems P...
The research that we have performed in collaboration with IBM uses sampled event traces, which were ...
High performance computing (HPC) scheduling landscape currently faces new challenges due to the chan...
grantor: University of TorontoUnderstanding the characteristics of parallel workloads aids...
Human mental workload is one of the most important factors in cognitive task allocation of system de...
The size and capacity of datacenters has grown over time, and today, datacentershave become a signif...