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Reducing Energy Consumption of Dense Linear Algebra Operations on Hybrid CPU-GPU Platforms
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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/cpe.1463openalex-snapshot
Parallelizing dense and banded linear algebra libraries using SMPSs
inferredcites →https://doi.org/10.1007/s00450-010-0126-0openalex-snapshot
Editorial for the First International Conference on Energy-Aware High Performance Computing
inferredcites →https://doi.org/10.1016/j.parco.2008.10.002openalex-snapshot
A class of parallel tiled linear algebra algorithms for multicore architectures
inferredcites →https://doi.org/10.1088/1742-6596/180/1/012037openalex-snapshot
Numerical linear algebra on emerging architectures: The PLASMA and MAGMA projects
inferredcites →https://doi.org/10.1109/mitp.2008.8openalex-snapshot
Green Supercomputing Comes of Age
inferredcites →https://doi.org/10.1109/mm.2012.17openalex-snapshot
Dark Silicon and the End of Multicore Scaling
inferredcites →https://doi.org/10.1109/pdp.2012.28openalex-snapshot
Saving Energy in the LU Factorization with Partial Pivoting on Multi-core Processors
inferredcites →https://doi.org/10.1145/1504176.1504196openalex-snapshot
Solving dense linear systems on platforms with multiple hardware accelerators
inferredcites →https://doi.org/10.1145/1527286.1527288openalex-snapshot
Programming matrix algorithms-by-blocks for thread-level parallelism
inferredcites →https://doi.org/10.1145/1941487.1941507openalex-snapshot
The future of microprocessors
inferredcites →https://doi.org/10.1145/2000064.2000108openalex-snapshot
Dark silicon and the end of multicore scaling
inferredcites →https://doi.org/10.1177/1094342006064482openalex-snapshot
The Tau Parallel Performance System
inferredcites →https://doi.org/10.1177/1094342010391989openalex-snapshot
The International Exascale Software Project roadmap
inferredcites →https://doi.org/10.1177/109434209901300310openalex-snapshot
Toward Scalable Performance Visualization with Jumpshot
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-642-40517-4_14openalex-snapshot
Runtime Scheduling of the LU Factorization: Performance and Energy
inferred← citeshttps://doi.org/10.1007/s00450-013-0242-8openalex-snapshot
Automatic detection of power bottlenecks in parallel scientific applications
inferred← citeshttps://doi.org/10.1007/s00607-016-0537-2openalex-snapshot
LU factorization on heterogeneous systems: an energy-efficient approach towards high performance
inferred← citeshttps://doi.org/10.1007/s10586-018-2866-8openalex-snapshot
A real-time and reliable dynamic migration model for concurrent taskflow in a GPU cluster
inferred← citeshttps://doi.org/10.1016/j.parco.2014.09.001openalex-snapshot
A survey of power and energy efficient techniques for high performance numerical linear algebra operations
inferred← citeshttps://doi.org/10.1109/icpp.2013.41openalex-snapshot
Reformulated Conjugate Gradient for the Energy-Aware Solution of Linear Systems on GPUs
inferred← citeshttps://doi.org/10.1109/sc.2016.56openalex-snapshot
GreenLA: Green Linear Algebra Software for GPU-accelerated Heterogeneous Computing
inferred← citeshttps://doi.org/10.1109/trustcom.2016.0209openalex-snapshot
Data-Oriented Runtime Scheduling Framework on Multi-GPUs
inferred← citeshttps://doi.org/10.1145/2636342openalex-snapshot
A Survey of Methods for Analyzing and Improving GPU Energy Efficiency
inferred← citeshttps://doi.org/10.1145/2676870.2676882openalex-snapshot
Analysis of Energy and Performance of PGAS-based Data Access Patterns
inferred← citeshttps://doi.org/10.1145/2822893openalex-snapshot
Scalable Energy Efficiency with Resilience for High Performance Computing Systems
inferred← citeshttps://doi.org/10.3390/electronics10161984openalex-snapshot
NUMA-Aware DGEMM Based on 64-Bit ARMv8 Multicore Processors Architecture
inferred← citeshttps://doi.org/10.48550/arxiv.1404.4629openalex-snapshot
A Survey of Methods For Analyzing and Improving GPU Energy Efficiency
inferred← citeshttps://doi.org/10.6035/14028.2016.34889openalex-snapshot
Consumo energético de métodos iterativos para sistemas dispersos en procesadores gráficos
inferred← citeshttps://doi.org/10.6035/14028.2017.193547openalex-snapshot
Performance and Energy Optimization of the Iterative Solution of Sparse Linear Systems on Multicore Processors
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