Malleability allows computing facilities to adapt their workloads through resource
management systems to maximize the throughput of the facility and the efficiency of the …

Today, all computers have some degree of usable parallelism. Modern computers are
explicitly equipped with hardware support for parallelism, such as multiple nodes …

Malleability—the ability for applications to dynamically adjust their resource allocations at
runtime—presents great potential to enhance the efficiency and resource utilization of …

The chip multicore processor (CMP) architecture has become the predominant design
choice for contemporary general-purpose systems across multiple sectors of commercial …

Applying malleability to HPC systems can increase their productivity without degrading or
even improving the performance of running applications. This paper presents Proteo, a …

With the increase of complex scientific simulations driven by workflows and heterogeneous
workload profiles, managing system resources effectively is essential for improving …

Nowadays, the throughput improvement in large clusters of computers recommends the
development of malleable applications. Thus, during the execution of these applications in a …

Malleability—the ability for applications to dynamically adjust their resource allocations at
runtime—presents great potential to enhance the efficiency and resource utilization of …

Dynamic resource management opens up numerous opportunities in High Performance
Computing. It improves the system-level services as well as application performance …

Malleability support in supercomputing requires several updates to system software stacks.
In addition to this, updates to applications, libraries and the runtime systems of distributed …