{"id":287,"date":"2020-07-29T13:53:51","date_gmt":"2020-07-29T13:53:51","guid":{"rendered":"http:\/\/cloud.ic.uff.br\/?page_id=287"},"modified":"2023-08-17T10:39:40","modified_gmt":"2023-08-17T10:39:40","slug":"1-wcloud-hpc","status":"publish","type":"page","link":"https:\/\/cloud.ic.uff.br\/index.php\/pt\/1-wcloud-hpc\/","title":{"rendered":"1\u00ba WCloud-HPC (Online)"},"content":{"rendered":"\n
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Venha participar do nosso 1\u00ba Workshop Virtual de Cloud e HPC (WCloud-HPC)!<\/p>\n\n\n\n

O evento seguir\u00e1 o hor\u00e1rio de Bras\u00edlia (GMT -3) e contar\u00e1 com as seguintes atividades:<\/p>\n\n\n\n

Cronograma de atividades para o primeiro dia (31\/08\/2020)<\/h2>\n\n\n\n
Hor\u00e1rio<\/th>Atividade<\/th><\/tr><\/thead>
13:00<\/td>Abertura<\/td><\/tr>
13:10<\/td>
Palestra: Flex (Walfredo Cirne<\/span>)<\/summary>

<\/p><\/details><\/em>Dispon\u00edvel em:  https:\/\/youtu.be\/beXfpml_gXM<\/a><\/td><\/tr>

14:00<\/td>Coffee Break<\/td><\/tr>
14:30<\/td>Sess\u00e3o de Apresenta\u00e7\u00e3o de Trabalhos de P\u00f3s-Gradua\u00e7\u00e3o

– Concurrency and Interference Analysis of Kernels on GPUs<\/em> (Pablo Carvalho)
– Alinhamento M\u00faltiplo de Sequ\u00eancias Gen\u00e9ticas<\/em> (Mario Jo\u00e3o Junior)
– Gerenciando Elasticidade de Mem\u00f3ria em Cont\u00eaineres<\/em> (Carlos Henrique Nicodemus)
– Developing Checkpointing and Recovery Procedures with the Storage Services of Amazon Web Services<\/em> (Luan Teylo<\/span>)
– Uma matheuristic POPMUSIC para o problema de roteamento de ve\u00edculos capacitado<\/em> (Eduardo Queiroga)
– Checkpoint Distribuido para Aplica\u00e7\u00f5es MPI<\/em> (Alan L. Nunes<\/span>)<\/td><\/tr>
16:00<\/td>Coffee Break<\/td><\/tr>
16:15<\/td>Sess\u00e3o de Apresenta\u00e7\u00e3o de Trabalhos de Inicia\u00e7\u00e3o Cient\u00edfica

– Gerenciamento de Ambientes com Docker Containers<\/em> (Daniel Sodr\u00e9 e Jos\u00e9 Victor da Silva)
– Avalia\u00e7\u00e3o de Desempenho de Grava\u00e7\u00e3o Concorrente de Checkpoints na Amazon<\/em> (Gustavo Azevedo e Alan Cavalcante)
– Gerenciamento de Recursos Virtuais Explorando Elasticidade<\/em> (Gustavo Muller e Andr\u00e9 Gon\u00e7alves)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
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Cronograma de atividades para o segundo dia (01\/09\/2020)<\/h2>\n\n\n\n
Hor\u00e1rio<\/th>Atividade<\/th><\/tr><\/thead>
14:00<\/td>
Palestra: Focus on Parallel Combinatorial Optimization (Claude Tadonki<\/span>)<\/summary>

Abstract: HPC has made great steps and its potential is continuously impacting. The next exciting horizon is the Exascale milestone. In this perspective, it is worth investigating how challenging applications like those coming from combinatorial optimization will benefit from this significant computing power available on supercomputers. The reference branch-and-bound technique for instance needs a special focus at a macroscopic level. Then, as its main ingredient at a node level is how we solve the kernel problem, an efficient shared memory parallelization is worth considering. Multicore has emerged as a typical architecture model since its advent, and it now stands as a standard. The trend is to increase the number of cores and improve memory system performance. Providing an efficient multicore implementation for an important algorithmic kernel is a genuine contribution. From a methodology standpoint, this should be done at the level of the underlying paradigm if any. We study the cases of dynamic programming and greedy algorithms, which are two major combinatorial algorithmic paradigms. We exclusively consider directives-based loop parallelization through OpenMP and investigate necessary transformations to reach a regular parallel form. We evaluate our methodology with a selection of well-known combinatorial optimization problems on an INTEL Broadwell processor. Key points for scalability are discussed before and after experimental results, the NUMA case being our next focus.<\/p><\/details><\/em>Dispon\u00edvel em: https:\/\/youtu.be\/af3vIxV9wuc<\/a><\/td><\/tr>

14:50<\/td>Coffee Break<\/td><\/tr>
15:00<\/td>Sess\u00e3o de Apresenta\u00e7\u00e3o de Trabalhos de P\u00f3s-Gradua\u00e7\u00e3o

– Using Machine Learning Techniques to Classify the Interference of HPC applications in Virtual Machines with Uncertain Data<\/em> (Rafaela Brum<\/span>)
– Um Arcabou\u00e7o em Nuvem para Experimenta\u00e7\u00e3o de Aplica\u00e7\u00f5es Ub\u00edquas<\/em> (Heder Dornelles)
– Descoberta de Servi\u00e7os em IOT<\/em> (Bruno Marques)
– Efficient Execution of Scientific Workflows in the Cloud through Adaptive Caching<\/em> (Gaetan Heidsieck, apresentado por Daniel de Oliveira)
– Escalonamento de Workflows em Nuvens com Restri\u00e7\u00f5es de Privacidade<\/em> (Rodrigo Alves Prado da Silva)<\/td><\/tr>
16:30<\/td>Coffee Break<\/td><\/tr>
16:45<\/td>
Hands-on em Ambientes Virtuais (Daniel Sodr\u00e9, Jos\u00e9 Victor da Silva, Gustavo Muller e Andr\u00e9 Gon\u00e7alves)<\/summary>

Resumo: O Hands-on mostrar\u00e1 conceitos e passos principais para a cria\u00e7\u00e3o e manipula\u00e7\u00e3o de ambientes virtuais com cont\u00eaineres, atrav\u00e9s de Docker Containers e M\u00e1quinas Virtuais, tais como KVM e WSL2.<\/p><\/details>Dispon\u00edvel em: https:\/\/youtu.be\/RVJrlT6lGF0<\/a>
Material: https:\/\/bit.ly\/2EWW3Ku<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n