International audienceProgramming multicore or manycore architectures efficiently is a challenge because numerous hardware characteristics have to be taken into account, especially the memory hierarchy.In this talk we will show how we can efficiently manage data and reduce communication cost by taking into account the topology of the machine and the affinity of the application processes in different contexts: process placement, load-balancing, resource allocati
International audienceDue to the advent of modern hardware architectures of high-performance comput-...
Obtaining the best performance from a parallel program involves four important steps: 1. Choice of t...
Abhinav Bhatele, Ph.D. student at the Parallel Programming Lab at the University of Illinois present...
International audienceCurrent generations of NUMA node clusters feature multicore or manycore proces...
International audienceInterconnection networks in parallel platforms can be made of thousands of nod...
International audienceProgramming multicore or manycore architectures is a hard challenge particular...
International audienceCurrent generations of NUMA node clusters feature multicore or manycore proces...
International audienceProcess mapping (or process placement) is a useful algorithmic technique to op...
International audienceProcess placement, also called topology mapping, is a well-known strategy to i...
International audienceIn this paper, we present a topology-aware load balancing algorithm for parall...
International audienceThe evolution of massively parallel supercomputers make palpable two issues in...
International audienceMulti-core compute nodes with non-uniform memory access (NUMA) are now a commo...
International audienceCurrent multi-core machines feature a complex and hierarchical core topology, ...
Petascale machines with hundreds of thousands of cores are being built. These machines have varying ...
Abstract—Multi-core compute nodes with non-uniform mem-ory access (NUMA) are now a common architectu...
International audienceDue to the advent of modern hardware architectures of high-performance comput-...
Obtaining the best performance from a parallel program involves four important steps: 1. Choice of t...
Abhinav Bhatele, Ph.D. student at the Parallel Programming Lab at the University of Illinois present...
International audienceCurrent generations of NUMA node clusters feature multicore or manycore proces...
International audienceInterconnection networks in parallel platforms can be made of thousands of nod...
International audienceProgramming multicore or manycore architectures is a hard challenge particular...
International audienceCurrent generations of NUMA node clusters feature multicore or manycore proces...
International audienceProcess mapping (or process placement) is a useful algorithmic technique to op...
International audienceProcess placement, also called topology mapping, is a well-known strategy to i...
International audienceIn this paper, we present a topology-aware load balancing algorithm for parall...
International audienceThe evolution of massively parallel supercomputers make palpable two issues in...
International audienceMulti-core compute nodes with non-uniform memory access (NUMA) are now a commo...
International audienceCurrent multi-core machines feature a complex and hierarchical core topology, ...
Petascale machines with hundreds of thousands of cores are being built. These machines have varying ...
Abstract—Multi-core compute nodes with non-uniform mem-ory access (NUMA) are now a common architectu...
International audienceDue to the advent of modern hardware architectures of high-performance comput-...
Obtaining the best performance from a parallel program involves four important steps: 1. Choice of t...
Abhinav Bhatele, Ph.D. student at the Parallel Programming Lab at the University of Illinois present...