Languages and Compilers for Parallel Computing [electronic resource] : 32nd International Workshop, LCPC 2019, Atlanta, GA, USA, October 22–24, 2019, Revised Selected Papers /

Performance of Static and Dynamic Task Scheduling for Real-Time Engine Control System on Embedded Multicore Processor -- PostSLP: Cross-Region Vectorization of Fully or Partially Vectorized Code -- FLARE: Flexibly Sharing Commodity GPUs to Enforce QoS and Improve Utilization -- Foundations of consistency types for a higher-order distributed language -- Common Subexpression Convergence: A New Code Optimization for SIMT processors -- Using Performance Event Profiles to Deduce an Execution Model of MATLAB with Just-In-Time Compilation -- CLAM: Compiler Leasing of Accelerator Memory -- Abstractions for Polyhedral Topology-Aware Tasking -- SWIRL++: Evaluating Performance Models to Guide Code Transformation in Convolutional Neural Networks -- A Structured Grid Solver with Polyhedral+Dataflow Representation -- CubeGen: Code Generation for Accelerated GEMM-based Convolution with Tiling.

This book constitutes the thoroughly refereed post-conference proceedings of the 32nd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2019, held in Atlanta, GA, USA, in October 2019. The 8 revised full papers and 3 revised short papers were carefully reviewed and selected from 17 submissions. The scope of the workshop includes advances in programming systems for current domains and platforms, e.g., scientific computing, batch/ streaming/ real-time data analytics, machine learning, cognitive computing, heterogeneous/ reconfigurable computing, mobile computing, cloud computing, IoT, as well as forward-looking computing domains such as analog and quantum computing.