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On Linear Learning with Manycore Processors

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On Linear Learning with Manycore Processors

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Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms

Architecture Exploration and Optimization of Heterogeneous Many-Core Compute and Memory Architectures with Architectural Extensions

Learning, compression, and leakage: Minimising classification error via meta-universal compression principles

Faster Parallel Training of Word Embeddings

Manycore clique enumeration with fast set intersections

HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines

Asynchronous Branch-Paralle Simulation of Detailed Neuron Models

Hardware Acceleration of HDR-Image Tone Mapping on an FPGA-CPU Platform Through High-Level Synthesis

Massively parallel data processing for quantitative total flow imaging with optical coherence microscopy and tomography

Programming Models and Methods for Heterogeneous Parallel Embedded Systems, 2016 IEEE 10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSOC)