<br>The Workshop on Languages and Compilers for Parallel Computing (LCPC) has been since its founding in 1988, a leading venue for research on parallel languages and compilers and many related topics related to parallel computing including parallelizing compilers, parallel programming models, runtime systems, and tools with a diverse domain of application. The wide scope of the workshop is unique in that spans the spectrum from foundational principles to practical experience, and from early ideas to polished results. LCPC encourages submissions that go outside its original scope of scientific computing to diverse areas that are enable or enhanced by the power of parallel systems such as mobile computing, big data, relevant aspects of machine learning, data centers, cognitive computing, etc. LCPC strongly encourages personal interaction and technical discussions along the initial material presented at the workshop and published its revised proceedings in LNCS later, after the meeting.<br>This year we celebrate the 30th anniversary of LCPC, which is a testament to the quality and impact of the published work in this venue. It also shows the dedication of its core participants who have persevered in the development of parallel computing while it was going through its ups and down.<br>After 14 years LCPC comes back to Texas A&M University in College Station, TX, to find the same pleasant October weather but a much larger and exciting venue. In addition to a strong program of contributed papers, LCPC′17 will feature invited speakers and an exciting panel that will bring together the veterans as well as the rising stars of parallel computing. LCPC will co–located with the CnC workshop.<br>Specific topics of LCPC 2017 include:<br>Compilers for parallel computing<br>Static, dynamic, and adaptive optimization of parallel programs<br>Parallel programming models and languages<br>Formal analysis and verification of parallel programs<br>Parallel runtime systems and libraries<br>Performance analysis and debugging tools for concurrency<br>Parallel algorithms and concurrent data structures<br>Parallel applications for Big Data, Machine Learning, Embedded Systems, Bio, IoT.<br>Software engineering for parallel programs<br>Fault tolerance for parallel systems<br>Parallel programming and compiling for heterogeneous systems<br>
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LCPC
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Collage Station
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United States
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