Mashup: making serverless computing useful for hpc workflows via hybrid execution
This work introduces Mashup, a novel strategy to leverage serverless computing model for
executing scientific workflows in a hybrid fashion by taking advantage of both the traditional …
executing scientific workflows in a hybrid fashion by taking advantage of both the traditional …
An early evaluation of intel's optane dc persistent memory module and its impact on high-performance scientific applications
M Weiland, H Brunst, T Quintino, N Johnson… - Proceedings of the …, 2019 - dl.acm.org
Memory and I/O performance bottlenecks in supercomputing simulations are two key
challenges that must be addressed on the road to Exascale. The new byte-addressable …
challenges that must be addressed on the road to Exascale. The new byte-addressable …
Daydream: Executing dynamic scientific workflows on serverless platforms with hot starts
HPC applications are increasingly being designed as dynamic workflows for the ease of
development and scaling. This work demonstrates how the serverless computing model can …
development and scaling. This work demonstrates how the serverless computing model can …
{FineStream}:{Fine-Grained}{Window-Based} stream processing on {CPU-GPU} integrated architectures
Accelerating SQL queries on stream processing by utilizing heterogeneous coprocessors,
such as GPUs, has shown to be an effective approach. Most works show that heterogeneous …
such as GPUs, has shown to be an effective approach. Most works show that heterogeneous …
MD-HM: memoization-based molecular dynamics simulations on big memory system
Molecular dynamics (MD) simulation is a fundamental method for modeling ensembles of
particles. In this paper, we introduce a new method to improve the performance of MD by …
particles. In this paper, we introduce a new method to improve the performance of MD by …
Fine-grained multi-query stream processing on integrated architectures
Exploring the sharing opportunities among multiple stream queries is crucial for high-
performance stream processing. Modern stream processing necessitates accelerating …
performance stream processing. Modern stream processing necessitates accelerating …
Demystifying the performance of hpc scientific applications on nvm-based memory systems
The emergence of high-density byte-addressable non-volatile memory (NVM) is promising
to accelerate data-and compute-intensive applications. Current NVM technologies have …
to accelerate data-and compute-intensive applications. Current NVM technologies have …
Optimizing large-scale plasma simulations on persistent memory-based heterogeneous memory with effective data placement across memory hierarchy
Particle simulations of plasma are important for understanding plasma dynamics in space
weather and fusion devices. However, production simulations that use billions and even …
weather and fusion devices. However, production simulations that use billions and even …
A lightweight method for evaluating in situ workflow efficiency
Performance evaluation is crucial to understanding the behavior of scientific workflows. In
this study, we target an emerging type of workflow, called in situ workflows. These workflows …
this study, we target an emerging type of workflow, called in situ workflows. These workflows …
NORNS: extending Slurm to support data-driven workflows through asynchronous data staging
As HPC systems move into the Exascale era, parallel file systems are struggling to keep up
with the I/O requirements from data-intensive problems. While the inclusion of burst buffers …
with the I/O requirements from data-intensive problems. While the inclusion of burst buffers …