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Towards High-Level Programming of Multi-GPU Systems Using the SkelCL Library

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/spe.1026openalex-snapshot
A survey of algorithmic skeleton frameworks: high‐level structured parallel programming enablers
inferredcites →https://doi.org/10.1007/978-1-4471-0097-3openalex-snapshot
Patterns and Skeletons for Parallel and Distributed Computing
inferredcites →https://doi.org/10.1007/978-3-642-03869-3_79openalex-snapshot
An Extension of the StarSs Programming Model for Platforms with Multiple GPUs
inferredcites →https://doi.org/10.1088/0031-9155/43/4/012openalex-snapshot
Fast accurate iterative reconstruction for low-statistics positron volume imaging
inferredcites →https://doi.org/10.1109/hotchips.2009.7478342openalex-snapshot
The OpenCL specification
inferredcites →https://doi.org/10.1109/ipdps.2011.269openalex-snapshot
SkelCL - A Portable Skeleton Library for High-Level GPU Programming
inferredcites →https://doi.org/10.1109/ipdpsw.2012.16openalex-snapshot
dOpenCL: Towards a Uniform Programming Approach for Distributed Heterogeneous Multi-/Many-Core Systems
inferredcites →https://doi.org/10.1109/nssmic.2011.6153840openalex-snapshot
EMRECON: An expectation maximization based image reconstruction framework for emission tomography data
inferredcites →https://doi.org/10.1109/tns.2003.817960openalex-snapshot
SPMD cluster-based parallel 3D OSEM
inferredcites →https://doi.org/10.1145/1863482.1863487openalex-snapshot
SkePU
inferredcites →https://doi.org/10.12694/scpe.v11i3.654openalex-snapshot
Programming Massively Parallel Processors. A Hands-on Approach
inferredcites →https://doi.org/10.5381/jot.2008.7.2.a2openalex-snapshot
Variadic Templates for C++0x.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.6101openalex-snapshot
Improved data transfer efficiency for scale‐out heterogeneous workloads using on‐the‐fly I/O link compression
inferred← citeshttps://doi.org/10.1007/978-3-642-36036-7_12openalex-snapshot
Fine-Grained Treatment to Synchronizations in GPU-to-CPU Translation
inferred← citeshttps://doi.org/10.1007/s10766-013-0265-6openalex-snapshot
Introducing and Implementing the Allpairs Skeleton for Programming Multi-GPU Systems
inferred← citeshttps://doi.org/10.1016/j.future.2013.12.038openalex-snapshot
Parallel patterns for heterogeneous CPU/GPU architectures: Structured parallelism from cluster to cloud
inferred← citeshttps://doi.org/10.1109/ipdpsw.2012.16openalex-snapshot
dOpenCL: Towards a Uniform Programming Approach for Distributed Heterogeneous Multi-/Many-Core Systems
inferred← citeshttps://doi.org/10.1109/pact.2011.62openalex-snapshot
Correctly Treating Synchronizations in Compiling Fine-Grained SPMD-Threaded Programs for CPU
inferred← citeshttps://doi.org/10.1109/sc.2016.9openalex-snapshot
Development Effort Estimation in HPC
inferred← citeshttps://doi.org/10.1145/2304576.2304583openalex-snapshot
One stone two birds
inferred← citeshttps://doi.org/10.1145/2400682.2400718openalex-snapshot
PARTANS
inferred← citeshttps://doi.org/10.1145/2554850.2555018openalex-snapshot
On the support of task-parallel algorithmic skeletons for multi-GPU computing
inferred← citeshttps://doi.org/10.1145/2807591.2807611openalex-snapshot
Memory access patterns
inferred← citeshttps://doi.org/10.1145/2808091.2808093openalex-snapshot
Converting data-parallelism to task-parallelism by rewrites: purely functional programs across multiple GPUs
inferred← citeshttps://doi.org/10.1145/3368474.3368485openalex-snapshot
Tiling-Based Programming Model for Structured Grids on GPU Clusters
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