Gustavo concluded his Bachelors in Computer Science at Universidade Estadual Paulista (UNESP) in 2016. In 2019, he concluded his Masters in Computer Science at the same institution. During his masters, Gustavo visited the University of Alberta (Canada) under co-supervision of Professors José Nelson Amaral and Guido Costa Souza de Araújo. His current research interests are high-performance computing, compilers, parallel computing and computer architecture. (Source: Lattes Curriculum)
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The task-parallel programming paradigm is more robust than its data-parallel counterpart because it permits the programmer to express himself more freely. However, using task parallelism incurs new challenges of managing dependencies between tasks, synchronization and scheduling. For this reason, in this work we look to identify, characterize and optimize bottlenecks in the LLVM´s impleme…
Assigning threads and memory pages to nodes of a NUMA architecture in a way that matches the demand for remote data transfers with the available communication bandwidths and memory-controller capacity in the machine can have a significant impact in the execution time of programs. Such assignment typically requires dealing with four simultaneous goals: (a) keep threads close to the memory …
The development of self-adaptive software is a complex activity, since this type of software constantly deals with structural and behavioral changes at runtime. Recently, it has been noticed a lot of efforts addressed to design of software systems that react at runtime in the face of execution environment changes or new needs of users. In parallel, reference architectures capture the esse…
Assigning threads and memory pages to nodes of a NUMA architecture in a way that matches the demand for remote data transfers with the available communication bandwidths and memory-controller capacity in the machine can have a significant impact in the execution time of programs. Such assignment typically requires dealing with four simultaneous goals: (a) keep threads close to the memory …
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