Laércio Lima Pilla

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—Multi-core compute nodes with non-uniform memory access (NUMA) are now a common architecture in the assembly of large-scale parallel machines. On these machines, in addition to the network communication costs, the memory access costs within a compute node are also asymmetric. Ignoring this can lead to an increase in the data movement costs. Therefore, to(More)
The High Performance Computing (HPC) community aimed for many years to increase performance regardless of energy consumption. Until the end of the decade, a next generation of HPC systems is expected to reach sustained performances of the order of exaflops. This requires many times more performance compared to the fastest supercomputers of today. Achieving(More)
This work shows how a Hybrid MPI/OpenMP implementation can improve the performance of the Ocean-Land-Atmosphere Model (OLAM) on a multi-core cluster environment , which is a typical HPC many small files work-load application. Previous experiments have shown that the scalability of this application on clusters is limited by the performance of the output(More)
—Multi-core nodes with Non-Uniform Memory Access (NUMA) are now a common architecture for high performance computing. On such NUMA nodes, the shared memory is physically distributed into memory banks connected by a network. Owing to this, memory access costs may vary depending on the distance between the processing unit and the memory bank. Therefore, a key(More)
Atmospheric models usually demand high processing power and generate large amounts of data. As the degree of parallelism grows, the I/O operations may become the major impacting factor of their performance. This paper evaluates the Ocean-Land-Atmosphere Model (OLAM) on the PVFS file system in order to point the I/O characteristics of the application. We(More)