CV Lattes
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Universidade Estadual Paulista (UNESP). Campus de Rio Claro. Instituto de Geociências e Ciências Exatas (IGCE) (Institutional affiliation from the last research proposal) Birthplace: Peru
Juan Salamanca received the PhD degree in Computer Science from the University of Campinas (UNICAMP), São Paulo, Brazil, in 2017. He worked as a visiting scholar in the Computing Science Department at the University of Alberta (UofA). He was a post-doctoral researcher at the São Paulo State University (UNESP, Brazil) and a visiting researcher at the Barcelona Supercomputing Center (BSC, Spain), supported in both by the São Paulo Research Foundation (FAPESP). He is a researcher with UNICAMP, Brazil. His research interests are in the areas of thread-level speculation, transactional memory, parallel programming, deep-learning acceleration, RISC-V, and code optimization. (Source: Lattes Curriculum)
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This proposal brings five contributions to address code parallelization. First, it proposes a tool to measure the loop-carried probability of each component of a loop and to detect loop-carried patterns in the loop extending the OpenMP check clause. Initial experiments shows that loop-carried probability is an effective metric to decide when to use TLS or BDX to parallelize loops, thus, f…
This proposal describes a novel software-controlled speculation technique for the parallel execution of multiple alternative traces of hot code regions. This technique, called Speculative Trace Execution (STE), enumerates, optimizes, and speculatively executes traces of hot regions such as loops and functions. It requires hardware support that can be provided in a similar fashion as that …
In addition to loops, there are other hot-code regions that parallel programming tries to parallelize. Task-based programming model simplifies it by providing annotations of dependences between tasks. Thus, a runtime system manages these dependences and schedules tasks to execute on cores. However, the programmer must use directives (e.g. taskwait) to ensure control dependences between ta…
This proposal describes a novel software-controlled speculation technique for the optimization and simultaneous execution of multiple alternative traces of hot code regions. This technique, called Speculative Trace Optimization (STO), enumerates, optimizes, and speculatively executes traces of hot loops. It requires hardware support that can be provided in a similar fashion as that availa…
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