International audienceEmerging workloads on supercomputing platforms are pushing the limits of traditional high-performance computing software environments. Multi-physics, coupled simulations, big data processing and machine learning frameworks, and multi-component workloads pose serious challenges to system and application developers. At the heart of the problem is the lack of cross-stack coordination to enable flexible resource management among multiple runtime components. In this work we analyze seven, real-world applications that represent emerging workloads and illustrate the scope and magnitude of the problem. We then extract several themes from these applications that highlight next-generation requirements for node resource managers....
Abstract—Cloud platforms are becoming more prevalent in every computational domain, particularly in ...
Heterogeneous multiprocessor systems have increased in complexity to provide both high performance a...
Future integrated systems will contain billions of transistors, composing tens to hundreds of IP cor...
International audienceEmerging workloads on supercomputing platforms are pushing the limits of tradi...
The appropriate organization of application components and their right mapping into physical resourc...
Due to the diversity in the applications that run in large distributed environments, many different ...
Today\u27s enterprise depend heavily on their information technology (IT) infrastructure for perform...
To better exploit the capabilities offered by multi-core high-end embedded systems, new parallel pro...
Metacomputing systems are intended to support remote and/or concurrent use of geographically distrib...
Scientific workflows feature complex precedence constraints that are mostly dictated by data depende...
Recent emerging applications from a wide range of scientific domains often require a very large numb...
Scientific workflow management systems like Nextflow support large-scale data analysis by abstractin...
Multicore processors and Multiprocessor System-on-Chip (MPSoC) have become essential in Real-Time Sy...
Managing hardware resources is important to write efficient software, which conserves energy, time, ...
The increasing pervasiveness of mobile and embedded devices (IoT/Edge), combined with the access to ...
Abstract—Cloud platforms are becoming more prevalent in every computational domain, particularly in ...
Heterogeneous multiprocessor systems have increased in complexity to provide both high performance a...
Future integrated systems will contain billions of transistors, composing tens to hundreds of IP cor...
International audienceEmerging workloads on supercomputing platforms are pushing the limits of tradi...
The appropriate organization of application components and their right mapping into physical resourc...
Due to the diversity in the applications that run in large distributed environments, many different ...
Today\u27s enterprise depend heavily on their information technology (IT) infrastructure for perform...
To better exploit the capabilities offered by multi-core high-end embedded systems, new parallel pro...
Metacomputing systems are intended to support remote and/or concurrent use of geographically distrib...
Scientific workflows feature complex precedence constraints that are mostly dictated by data depende...
Recent emerging applications from a wide range of scientific domains often require a very large numb...
Scientific workflow management systems like Nextflow support large-scale data analysis by abstractin...
Multicore processors and Multiprocessor System-on-Chip (MPSoC) have become essential in Real-Time Sy...
Managing hardware resources is important to write efficient software, which conserves energy, time, ...
The increasing pervasiveness of mobile and embedded devices (IoT/Edge), combined with the access to ...
Abstract—Cloud platforms are becoming more prevalent in every computational domain, particularly in ...
Heterogeneous multiprocessor systems have increased in complexity to provide both high performance a...
Future integrated systems will contain billions of transistors, composing tens to hundreds of IP cor...