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Automatic Library Generation for BLAS3 on GPUs

https://doi.org/10.1109/ipdps.2011.33

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What this work says

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

inferredcites →https://doi.org/10.1007/11587514_4openalex-snapshot

A Practical Method for Quickly Evaluating Program Optimizations

inferredcites →https://doi.org/10.1007/978-1-4615-4337-4openalex-snapshot

Loop Tiling for Parallelism

inferredcites →https://doi.org/10.1007/978-3-540-69330-7_10openalex-snapshot

A Language for the Compact Representation of Multiple Program Versions

inferredcites →https://doi.org/10.1007/978-3-540-72521-3_14openalex-snapshot

Iterative Compilation with Kernel Exploration

inferredcites →https://doi.org/10.1007/978-3-540-92990-1_5openalex-snapshot

Collective Optimization

inferredcites →https://doi.org/10.1007/978-3-642-11970-5_14openalex-snapshot

Automatic C-to-CUDA Code Generation for Affine Programs

inferredcites →https://doi.org/10.1007/978-3-642-13374-9_4openalex-snapshot

Loop Transformation Recipes for Code Generation and Auto-Tuning

inferredcites →https://doi.org/10.1007/bfb0094916openalex-snapshot

A feasibility study in iterative compilation

inferredcites →https://doi.org/10.1007/s10766-006-0012-3openalex-snapshot

Semi-Automatic Composition of Loop Transformations for Deep Parallelism and Memory Hierarchies

inferredcites →https://doi.org/10.1016/j.parco.2008.12.006openalex-snapshot

Optimization of sparse matrix-vector multiplication on emerging multicore platforms

inferredcites →https://doi.org/10.1016/j.ygyno.2004.11.017openalex-snapshot

inferredcites →https://doi.org/10.1016/s0167-8191(00)00087-9openalex-snapshot

Automated empirical optimizations of software and the ATLAS project

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/cgo.2005.10openalex-snapshot

Combining Models and Guided Empirical Search to Optimize for Multiple Levels of the Memory Hierarchy

inferredcites →https://doi.org/10.1109/cgo.2006.37openalex-snapshot

Using Machine Learning to Focus Iterative Optimization

inferredcites →https://doi.org/10.1109/cgo.2011.5764679openalex-snapshot

Extendable pattern-oriented optimization directives

inferredcites →https://doi.org/10.1109/ipdps.2009.5160988openalex-snapshot

A cross-input adaptive framework for GPU program optimizations

inferredcites →https://doi.org/10.1109/ipdps.2009.5161054openalex-snapshot

A scalable auto-tuning framework for compiler optimization

inferredcites →https://doi.org/10.1109/jproc.2004.840306openalex-snapshot

SPIRAL: Code Generation for DSP Transforms

inferredcites →https://doi.org/10.1109/sc.2008.5214359openalex-snapshot

Benchmarking GPUs to tune dense linear algebra

inferredcites →https://doi.org/10.1109/sc.2008.5222004openalex-snapshot

Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures

inferredcites →https://doi.org/10.1145/1345206.1345210openalex-snapshot

Automatic data movement and computation mapping for multi-level parallel architectures with explicitly managed memories

inferredcites →https://doi.org/10.1145/301618.301661openalex-snapshot

A fast Fourier transform compiler

inferredcites →https://doi.org/10.1145/314403.314414openalex-snapshot

Optimizing for reduced code space using genetic algorithms

inferredcites →https://doi.org/10.1145/780731.780735openalex-snapshot

Finding effective optimization phase sequences

inferredcites →https://doi.org/10.1145/780732.780735openalex-snapshot

Finding effective optimization phase sequences

inferredcites →https://doi.org/10.1145/780822.781140openalex-snapshot

A comparison of empirical and model-driven optimization

inferredcites →https://doi.org/10.1145/781131.781140openalex-snapshot

A comparison of empirical and model-driven optimization

inferredcites →https://doi.org/10.1145/996841.996864openalex-snapshot

Inducing heuristics to decide whether to schedule

inferredcites →https://doi.org/10.1145/997163.997196openalex-snapshot

Finding effective compilation sequences

inferredcites →https://doi.org/10.5555/1413370.1413375openalex-snapshot

Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures

inferredcites →https://doi.org/10.5555/1413370.1413402openalex-snapshot

Benchmarking GPUs to tune dense linear algebra

inferredcites →https://doi.org/10.5555/2190025.2190058openalex-snapshot

Extendable pattern-oriented optimization directives

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-642-23397-5_40openalex-snapshot

Model-Driven Tile Size Selection for DOACROSS Loops on GPUs

inferred← citeshttps://doi.org/10.1007/s11390-013-1409-2openalex-snapshot

Dynamic I/O-Aware Scheduling for Batch-Mode Applications on Chip Multiprocessor Systems of Cluster Platforms

inferred← citeshttps://doi.org/10.1007/s11390-014-1447-4openalex-snapshot

OpenMC: Towards Simplifying Programming for TianHe Supercomputers

inferred← citeshttps://doi.org/10.1109/cgo.2017.7863734openalex-snapshot

Automatic generation of fast BLAS3-GEMM: A portable compiler approach

inferred← citeshttps://doi.org/10.1109/icpp.2013.16openalex-snapshot

Adaptive Runtime Selection for GPU

inferred← citeshttps://doi.org/10.1109/icpp.2015.29openalex-snapshot

Design and Implementation of a Highly Efficient DGEMM for 64-Bit ARMv8 Multi-core Processors

inferred← citeshttps://doi.org/10.1109/icpp.2017.51openalex-snapshot

Towards Highly Efficient DGEMM on the Emerging SW26010 Many-Core Processor

inferred← citeshttps://doi.org/10.1109/inpar.2012.6339595openalex-snapshot

Auto-tuning a high-level language targeted to GPU codes

inferred← citeshttps://doi.org/10.1109/pact.2013.6618817openalex-snapshot

The case for a scalable coherence protocol for complex on-chip cache hierarchies in many core systems

inferred← citeshttps://doi.org/10.1109/tpds.2011.311openalex-snapshot

Autotuning GEMM Kernels for the Fermi GPU

inferred← citeshttps://doi.org/10.1109/tpds.2012.242openalex-snapshot

LU Factorization with Partial Pivoting for a Multicore System with Accelerators

inferred← citeshttps://doi.org/10.1109/tpds.2015.2442983openalex-snapshot

Predicting Cross-Core Performance Interference on Multicore Processors with Regression Analysis

inferred← citeshttps://doi.org/10.1145/2212908.2212938openalex-snapshot

Parameterized micro-benchmarking

inferred← citeshttps://doi.org/10.1145/2400682.2400690openalex-snapshot

A script-based autotuning compiler system to generate high-performance CUDA code

inferred← citeshttps://doi.org/10.1145/2400682.2400694openalex-snapshot

Layout-oblivious compiler optimization for matrix computations

inferred← citeshttps://doi.org/10.1145/2503210.2503219openalex-snapshot

AUGEM

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Loo.py

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Hadoop+

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Loo.py: from fortran to performance via transformation and substitution rules

inferred← citeshttps://doi.org/10.1145/3205289.3205306openalex-snapshot

Revisiting Loop Tiling for Datacenters

inferred← citeshttps://doi.org/10.1145/3274654openalex-snapshot

SCP

inferred← citeshttps://doi.org/10.1145/3302516.3307350openalex-snapshot

PPOpenCL: a performance-portable OpenCL compiler with host and kernel thread code fusion

inferred← citeshttps://doi.org/10.1177/1094342013493644openalex-snapshot

Towards making autotuning mainstream

inferred← citeshttps://doi.org/10.3390/electronics10161984openalex-snapshot

NUMA-Aware DGEMM Based on 64-Bit ARMv8 Multicore Processors Architecture

inferred← citeshttps://doi.org/10.3390/electronics7120359openalex-snapshot

Hybrid-Grained Dynamic Load Balanced GEMM on NUMA Architectures

inferred← citeshttps://doi.org/10.5555/3049832.3049846openalex-snapshot

Automatic generation of fast BLAS3-GEMM: a portable compiler approach

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