On the public citation graph
SkelCL - A Portable Skeleton Library for High-Level GPU Programming
0 signed · 128 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4471-0097-3openalex-snapshot
Patterns and Skeletons for Parallel and Distributed Computing
inferredcites →https://doi.org/10.1007/978-3-540-85451-7_86openalex-snapshot
Systematic Parallelization of Medical Image Reconstruction for Graphics Hardware
inferredcites →https://doi.org/10.1111/j.1749-6632.1980.tb29690.xopenalex-snapshot
FRACTAL ASPECTS OF THE ITERATION OF z →Λz(1‐ z) FOR COMPLEX Λ AND z
inferredcites →https://doi.org/10.1145/1735688.1735703openalex-snapshot
Accelerating MATLAB Image Processing Toolbox functions on GPUs
inferredcites →https://doi.org/10.2312/eggh/eggh07/097-106openalex-snapshot
Scan Primitives for GPU Computing
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.3479openalex-snapshot
PSkel: A stencil programming framework for CPU‐GPU systems
inferred← citeshttps://doi.org/10.1002/cpe.3494openalex-snapshot
The SIPSim implicit parallelism model and the SkelGIS library
inferred← citeshttps://doi.org/10.1002/cpe.3666openalex-snapshot
Gaspar: a compositional aspect‐oriented approach for cluster applications
inferred← citeshttps://doi.org/10.1002/cpe.5003openalex-snapshot
Extending smart containers for data locality‐aware skeleton programming
inferred← citeshttps://doi.org/10.1002/cpe.5842openalex-snapshot
Flexible task‐DAG management in PHAST library: Data‐parallel tasks and orchestration support for heterogeneous systems
inferred← citeshttps://doi.org/10.1007/978-3-031-99854-6_7openalex-snapshot
Polymorphic Higher-Order GPU Kernels
inferred← citeshttps://doi.org/10.1007/978-3-319-74313-4_14openalex-snapshot
A Transformation-Based Approach to Developing High-Performance GPU Programs
inferred← citeshttps://doi.org/10.1007/978-3-319-96983-1_46openalex-snapshot
Energy Efficient Stencil Computations on the Low-Power Manycore MPPA-256 Processor
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/10.1007/978-3-642-36949-0_41openalex-snapshot
Using the SkelCL Library for High-Level GPU Programming of 2D Applications
inferred← citeshttps://doi.org/10.1007/978-3-642-39958-9_24openalex-snapshot
SkelCL: Enhancing OpenCL for High-Level Programming of Multi-GPU Systems
inferred← citeshttps://doi.org/10.1007/978-3-642-40047-6_86openalex-snapshot
Algorithmic Skeleton Framework for the Orchestration of GPU Computations
inferred← citeshttps://doi.org/10.1007/978-3-642-45293-2_13openalex-snapshot
Adaptive Implementation Selection in the SkePU Skeleton Programming Library
inferred← citeshttps://doi.org/10.1007/978-3-642-45293-2_14openalex-snapshot
Automatic Skeleton-Based Compilation through Integration with an Algorithm Classification
inferred← citeshttps://doi.org/10.1007/s00607-019-00780-xopenalex-snapshot
Comparison of analytical and ML-based models for predicting CPU–GPU data transfer time
inferred← citeshttps://doi.org/10.1007/s10619-023-07431-3openalex-snapshot
Out-of-the-box library support for DBMS operations on GPUs
inferred← citeshttps://doi.org/10.1007/s10707-017-0312-3openalex-snapshot
A compiler approach to map algebra: automatic parallelization, locality optimization, and GPU acceleration of raster spatial analysis
inferred← citeshttps://doi.org/10.1007/s10766-013-0261-xopenalex-snapshot
Efficient Abstractions for GPGPU Programming
inferred← citeshttps://doi.org/10.1007/s10766-013-0268-3openalex-snapshot
An Algorithm Template for Domain-Based Parallel Irregular Algorithms
inferred← citeshttps://doi.org/10.1007/s10766-015-0357-6openalex-snapshot
Smart Containers and Skeleton Programming for GPU-Based Systems
inferred← citeshttps://doi.org/10.1007/s10766-016-0416-7openalex-snapshot
Data Parallel Algorithmic Skeletons with Accelerator Support
inferred← citeshttps://doi.org/10.1007/s10766-016-0419-4openalex-snapshot
Autonomic Coordination of Skeleton-Based Applications Over CPU/GPU Multi-Core Architectures
inferred← citeshttps://doi.org/10.1007/s10766-017-0490-5openalex-snapshot
SkePU 2: Flexible and Type-Safe Skeleton Programming for Heterogeneous Parallel Systems
inferred← citeshttps://doi.org/10.1007/s10766-017-0497-yopenalex-snapshot
High-Level Programming for Many-Cores Using C++14 and the STL
inferred← citeshttps://doi.org/10.1007/s10766-021-00704-3openalex-snapshot
SkePU 3: Portable High-Level Programming of Heterogeneous Systems and HPC Clusters
inferred← citeshttps://doi.org/10.1007/s10766-022-00726-5openalex-snapshot
A Deterministic Portable Parallel Pseudo-Random Number Generator for Pattern-Based Programming of Heterogeneous Parallel Systems
inferred← citeshttps://doi.org/10.1007/s10766-022-00750-5openalex-snapshot
Distributed-Memory FastFlow Building Blocks
inferred← citeshttps://doi.org/10.1007/s10766-024-00772-1openalex-snapshot
LSH SimilarityJoin Pattern in FastFlow
inferred← citeshttps://doi.org/10.1007/s11227-013-0895-xopenalex-snapshot
Skeletal based programming for dynamic programming on MultiGPU systems
inferred← citeshttps://doi.org/10.1007/s11227-014-1213-yopenalex-snapshot
SkelCL: a high-level extension of OpenCL for multi-GPU systems
inferred← citeshttps://doi.org/10.1007/s11227-016-1792-xopenalex-snapshot
MeterPU: a generic measurement abstraction API
inferred← citeshttps://doi.org/10.1007/s11227-019-02749-1openalex-snapshot
NoT: a high-level no-threading parallel programming method for heterogeneous systems
inferred← citeshttps://doi.org/10.1007/s11227-019-02829-2openalex-snapshot
dOCAL: high-level distributed programming with OpenCL and CUDA
inferred← citeshttps://doi.org/10.1007/s11227-020-03234-wopenalex-snapshot
clusterCL: comprehensive support for multi-kernel data-parallel applications in heterogeneous asymmetric clusters
inferred← citeshttps://doi.org/10.1007/s11227-025-06963-yopenalex-snapshot
CPU-GPU co-execution through the exploitation of hybrid technologies via SYCL
inferred← citeshttps://doi.org/10.1007/s13389-017-0175-4openalex-snapshot
Parallel bitsliced AES through PHAST: a single-source high-performance library for multi-cores and GPUs
inferred← citeshttps://doi.org/10.1007/s42514-020-00039-4openalex-snapshot
Parallel programming models for heterogeneous many-cores: a comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.compfluid.2020.104425openalex-snapshot
Productivity, performance, and portability for computational fluid dynamics applications
inferred← citeshttps://doi.org/10.1016/j.csi.2024.103922openalex-snapshot
GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism
inferred← citeshttps://doi.org/10.1016/j.future.2020.02.016openalex-snapshot
EngineCL: Usability and Performance in Heterogeneous Computing
inferred← citeshttps://doi.org/10.1016/j.jpdc.2013.07.013openalex-snapshot
Exploiting heterogeneous parallelism with the Heterogeneous Programming Library
inferred← citeshttps://doi.org/10.1016/j.procs.2013.05.239openalex-snapshot
High-level Programming for Medical Imaging on Multi-GPU Systems Using the SkelCL Library
inferred← citeshttps://doi.org/10.1016/j.procs.2015.05.208openalex-snapshot
Improving OpenCL Programmability with the Heterogeneous Programming Library
inferred← citeshttps://doi.org/10.1016/j.procs.2017.05.155openalex-snapshot
Enabling efficient stencil code generation in OpenACC
inferred← citeshttps://doi.org/10.1016/j.scico.2017.03.005openalex-snapshot
cf4ocl: A C framework for OpenCL
inferred← citeshttps://doi.org/10.1109/ccgrid.2015.147openalex-snapshot
Towards a High Level Programming Paradigm to Deploy e-Science Applications with Dynamic Workflows on Large Scale Distributed Systems
inferred← citeshttps://doi.org/10.1109/cec.2013.6557926openalex-snapshot
Mapping parallel programs to heterogeneous CPU/GPU architectures using a Monte Carlo Tree Search
inferred← citeshttps://doi.org/10.1109/cgo.2017.7863730openalex-snapshot
LIFT: A functional data-parallel IR for high-performance GPU code generation
inferred← citeshttps://doi.org/10.1109/empdp.2019.8671624openalex-snapshot
Stream Parallelism on the LZSS Data Compression Application for Multi-Cores with GPUs
inferred← citeshttps://doi.org/10.1109/hpcc.2014.174openalex-snapshot
Skeleton Paradigm for Developing E-Science Applications on Distributed Platforms
inferred← citeshttps://doi.org/10.1109/hpcs.2017.110openalex-snapshot
Extending OpenACC for Efficient Stencil Code Generation and Execution by Skeleton Frameworks
inferred← citeshttps://doi.org/10.1109/hpcs48598.2019.9188188openalex-snapshot
Towards Co-execution on Commodity Heterogeneous Systems: Optimizations for Time-Constrained Scenarios
inferred← citeshttps://doi.org/10.1109/icdew53142.2021.00014openalex-snapshot
Analysis of GPU-Libraries for Rapid Prototyping Database Operations : A look into library support for database operations
inferred← citeshttps://doi.org/10.1109/ictck.2014.7033531openalex-snapshot
Divide and conquer skeleton on GPU
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/ipdpsw.2012.229openalex-snapshot
Towards High-Level Programming of Multi-GPU Systems Using the SkelCL Library
inferred← citeshttps://doi.org/10.1109/ipdpsw.2014.119openalex-snapshot
A Stream Processing Framework for On-Line Optimization of Performance and Energy Efficiency on Heterogeneous Systems
inferred← citeshttps://doi.org/10.1109/ipdpsw.2019.00137openalex-snapshot
Stream Processing on Multi-cores with GPUs: Parallel Programming Models' Challenges
inferred← citeshttps://doi.org/10.1109/ispras57371.2022.10076850openalex-snapshot
kernel_slicer: high-level approach on top of GPU programming API
inferred← citeshttps://doi.org/10.1109/llvm-hpc.2014.9openalex-snapshot
PACXX: Towards a Unified Programming Model for Programming Accelerators Using C++14
inferred← citeshttps://doi.org/10.1109/padsw.2018.8644541openalex-snapshot
OCAL: An Abstraction for Host-Code Programming with OpenCL and CUDA
inferred← citeshttps://doi.org/10.1109/pdcat.2014.39openalex-snapshot
Towards High-Level Parallel Patterns in OpenCL
inferred← citeshttps://doi.org/10.1109/pdp.2013.29openalex-snapshot
Heterogeneous Algorithmic Skeletons for Fast Flow with Seamless Coordination over Hybrid Architectures
inferred← citeshttps://doi.org/10.1109/tc.2021.3125792openalex-snapshot
PySchedCL: Leveraging Concurrency in Heterogeneous Data-Parallel Systems
inferred← citeshttps://doi.org/10.1109/tpds.2018.2855182openalex-snapshot
PHAST - A Portable High-Level Modern C++ Programming Library for GPUs and Multi-Cores
inferred← citeshttps://doi.org/10.1142/s0129626412400063openalex-snapshot
TARGETING HETEROGENEOUS ARCHITECTURES VIA MACRO DATA FLOW
inferred← citeshttps://doi.org/10.1145/2784731.2784754openalex-snapshot
Generating performance portable code using rewrite rules: from high-level functional expressions to high-performance OpenCL code
inferred← citeshttps://doi.org/10.1145/2807426.2807428openalex-snapshot
Runtime Code Generation and Data Management for Heterogeneous Computing in Java
inferred← citeshttps://doi.org/10.1145/2814204.2814211openalex-snapshot
CLOP: a multi-stage compiler to seamlessly embed heterogeneous code
inferred← citeshttps://doi.org/10.1145/2814576.2814732openalex-snapshot
Parallel Programming in Actor-Based Applications via OpenCL
inferred← citeshttps://doi.org/10.1145/2858949.2784754openalex-snapshot
Generating performance portable code using rewrite rules: from high-level functional expressions to high-performance OpenCL code
inferred← citeshttps://doi.org/10.1145/2884045.2884046openalex-snapshot
Performance portable GPU code generation for matrix multiplication
inferred← citeshttps://doi.org/10.1145/2884045.2884049openalex-snapshot
Multi-stage programming for GPUs in C++ using PACXX
inferred← citeshttps://doi.org/10.1145/2936314.2814211openalex-snapshot
CLOP: a multi-stage compiler to seamlessly embed heterogeneous code
inferred← citeshttps://doi.org/10.1145/2968455.2968521openalex-snapshot
Matrix multiplication beyond auto-tuning
inferred← citeshttps://doi.org/10.1145/3026937.3026942openalex-snapshot
Towards Composable GPU Programming
inferred← citeshttps://doi.org/10.1145/3132710openalex-snapshot
Bringing Parallel Patterns Out of the Corner
inferred← citeshttps://doi.org/10.1145/3168824openalex-snapshot
High performance stencil code generation with Lift
inferred← citeshttps://doi.org/10.1145/3179541.3168824openalex-snapshot
High performance stencil code generation with Lift
inferred← citeshttps://doi.org/10.1145/3276489openalex-snapshot
AnyDSL: a partial evaluation framework for programming high-performance libraries
inferred← citeshttps://doi.org/10.1145/3303084.3309496openalex-snapshot
Task-DAG Support in Single-Source PHAST Library
inferred← citeshttps://doi.org/10.1145/3310411.3310416openalex-snapshot
Single-source Library for Enabling Seamless Assignment of Data-parallel Task-DAGs to CPUs and GPUs in Heterogeneous Architectures
inferred← citeshttps://doi.org/10.1145/3331553.3342613openalex-snapshot
Generating efficient FFT GPU code with Lift
inferred← citeshttps://doi.org/10.1145/3357766.3359531openalex-snapshot
A vision of miking: interactive programmatic modeling, sound language composition, and self-learning compilation
inferred← citeshttps://doi.org/10.1145/3368474.3368485openalex-snapshot
Tiling-Based Programming Model for Structured Grids on GPU Clusters
inferred← citeshttps://doi.org/10.1145/3368858openalex-snapshot
Tiling Optimizations for Stencil Computations Using Rewrite Rules in L ift
inferred← citeshttps://doi.org/10.1145/3453933.3454014openalex-snapshot
Automatically exploiting the memory hierarchy of GPUs through just-in-time compilation
inferred← citeshttps://doi.org/10.1145/3561320.3561327openalex-snapshot
High-Level Stream and Data Parallelism in C++ for GPUs
inferred← citeshttps://doi.org/10.1145/3665643openalex-snapshot
(De/Re)-Composition of Data-Parallel Computations via Multi-Dimensional Homomorphisms
inferred← citeshttps://doi.org/10.1504/ijhpcn.2012.046370openalex-snapshot
Algorithmic skeletons for multi-core, multi-GPU systems and clusters
inferred← citeshttps://doi.org/10.1504/ijspm.2017.10003693openalex-snapshot
Design and implementation of communication patterns using parallel objects
inferred← citeshttps://doi.org/10.15514/ispras-2021-33(5)-11openalex-snapshot
Development in Vulkan: a domain-specific approach
inferred← citeshttps://doi.org/10.1587/transfun.2021vlp0002openalex-snapshot
Low-Power Design Methodology of Voltage Over-Scalable Circuit with Critical Path Isolation and Bit-Width Scaling
inferred← citeshttps://doi.org/10.17771/pucrio.acad.28707openalex-snapshot
AUXÍLIO A PORTABILIDADE DE CÓDIGO EM APLICAÇÕES DE ALTO DESEMPENHO
inferred← citeshttps://doi.org/10.20948/graphicon-2021-3027-150-165openalex-snapshot
An Auto-Programming Approach to Vulkan
inferred← citeshttps://doi.org/10.20948/prepr-2023-58openalex-snapshot
A no-API approach to massive-parallel architectures
inferred← citeshttps://doi.org/10.3233/978-1-61499-381-0-72openalex-snapshot
A Scalable Farm Skeleton for Heterogeneous Parallel Programming
inferred← citeshttps://doi.org/10.3233/apc200083openalex-snapshot
High-Level Stream Parallelism Abstractions with SPar Targeting GPUs
inferred← citeshttps://doi.org/10.3384/9789179291969openalex-snapshot
Pattern-based Programming Abstractions for Heterogeneous Parallel Computing
inferred← citeshttps://doi.org/10.3384/diss.diva-104310openalex-snapshot
Performance-aware component composition for GPU-based systems
inferred← citeshttps://doi.org/10.3384/diss.diva-145304openalex-snapshot
Programming Abstractions and Optimization Techniques for GPU-based Heterogeneous Systems
inferred← citeshttps://doi.org/10.3384/lic.diva-170194openalex-snapshot
Designing a Modern Skeleton Programming Framework for Parallel and Heterogeneous Systems
inferred← citeshttps://doi.org/10.3389/fphy.2022.968409openalex-snapshot
Agent-based models in cellular systems
inferred← citeshttps://doi.org/10.3390/computation14040086openalex-snapshot
Python-Assisted Development of High-Performance Fortran Codes: A Hybrid Methodology Integrating Symbolic Mathematics and Large Language Models
inferred← citeshttps://doi.org/10.46354/i3m.2020.emssopenalex-snapshot
Proceedings of the 32nd European Modeling & Simulation Symposium (EMSS 2020)
inferred← citeshttps://doi.org/10.46354/i3m.2021.emss.004openalex-snapshot
Parallel Design Patterns vs Parallel Object Compositions. Two Proposals for Parallelization of the Divide & Conquer Technique
inferred← citeshttps://doi.org/10.46354/i3m.2021.emss.024openalex-snapshot
Opt-Sim approach for the gate allocation problem in covid-19 times
inferred← citeshttps://doi.org/10.46354/i3m.2021.emss.036openalex-snapshot
Discrete event simulation of a drive-through COVID-19 mass vaccination model: senior population prioritization strategies
inferred← citeshttps://doi.org/10.46354/i3m.2021.emss.048openalex-snapshot
Analyzing the Impact of Vaccination on COVID-19 Spread and Hospitalizations: A Multi-Paradigm Simulation Modeling Approach
inferred← citeshttps://doi.org/10.48550/arxiv.1405.2915openalex-snapshot
Optimized Composition: Generating Efficient Code for Heterogeneous Systems from Multi-Variant Components, Skeletons and Containers
inferred← citeshttps://doi.org/10.48550/arxiv.1502.02389openalex-snapshot
Patterns and Rewrite Rules for Systematic Code Generation (From High-Level Functional Patterns to High-Performance OpenCL Code)
inferred← citeshttps://doi.org/10.48550/arxiv.1511.02490openalex-snapshot
Autotuning OpenCL Workgroup Size for Stencil Patterns
inferred← citeshttps://doi.org/10.48550/arxiv.1904.03383openalex-snapshot
On the Representation of Partially Specified Implementations and its Application to the Optimization of Linear Algebra Kernels on GPU
inferred← citeshttps://doi.org/10.48550/arxiv.2005.04094openalex-snapshot
Parallel Programming Models for Heterogeneous Many-Cores : A Survey
inferred← citeshttps://doi.org/10.5555/3049832.3049841openalex-snapshot
Lift: a functional data-parallel IR for high-performance GPU code generation
inferred← citeshttps://doi.org/10.5753/semish.2026.23782openalex-snapshot
Kernels de ordem superior para GPUs compatíveis com OpenCL utilizando metaprogramação em Elixir
inferred← citeshttps://doi.org/10.6100/ir771987openalex-snapshot
Improving the programmability of GPU architectures
inferred← citeshttps://doi.org/10.70675/28ed0eb6z64d0z41e7za4ffz7638663da061openalex-snapshot
Méthodologie de placement d'algorithmes de traitement d'images sur architecture massivement parallèle
inferred← citeshttps://doi.org/10.70675/d5616431z1928z4641z8afcz4ae3cc485807openalex-snapshot
Efficient code generation for hardware accelerators by refining partially specified implementation
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.