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Fusion of loops for parallelism and locality
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Determining transformation sequences for loop parallelization
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Maximizing loop parallelism and improving data locality via loop fusion and distribution
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The MIT Alewife Machine: A Large-Scale Distributed-Memory Multiprocessor
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Dependence Analysis for Supercomputing
inferredcites →https://doi.org/10.1007/bfb0025876openalex-snapshot
Polaris: Improving the effectiveness of parallelizing compilers
inferredcites →https://doi.org/10.1016/0743-7315(88)90014-7openalex-snapshot
Strategies for cache and local memory management by global program transformation
inferredcites →https://doi.org/10.1109/2.318580openalex-snapshot
Cache profiling and the SPEC benchmarks: a case study
inferredcites →https://doi.org/10.1109/2.67196openalex-snapshot
Hector: a hierarchically structured shared-memory multiprocessor
inferredcites →https://doi.org/10.1109/icpp.1994.114openalex-snapshot
Full Parallelism in Uniform Nested Loops Using Multi-Dimensional Retiming
inferredcites →https://doi.org/10.1109/icpp.1996.538567openalex-snapshot
Scheduling of wavefront parallelism on scalable shared-memory multiprocessors
inferredcites →https://doi.org/10.1145/106972.106981openalex-snapshot
The cache performance and optimizations of blocked algorithms
inferredcites →https://doi.org/10.1145/109025.109108openalex-snapshot
Uniform techniques for loop optimization
inferredcites →https://doi.org/10.1145/113445.113449openalex-snapshot
A data locality optimizing algorithm
inferredcites →https://doi.org/10.1145/135226.135233openalex-snapshot
A practical algorithm for exact array dependence analysis
inferredcites →https://doi.org/10.1145/169627.169695openalex-snapshot
Micro benchmark analysis of the KSR1
inferredcites →https://doi.org/10.1145/191995.192056openalex-snapshot
The Stanford FLASH multiprocessor
inferredcites →https://doi.org/10.1145/1925805.1925813openalex-snapshot
A compiler framework for restructuring data declarations to enhance cache and TLB effectiveness
inferredcites →https://doi.org/10.1145/193209.193215openalex-snapshot
Fusing loops with backward inter loop data dependence
inferredcites →https://doi.org/10.1145/197405.197406openalex-snapshot
Compiler transformations for high-performance computing
inferredcites →https://doi.org/10.1145/3392717.3400034openalex-snapshot
Optimizing supercompilers for supercomputers
inferredcites →https://doi.org/10.1145/7902.7904openalex-snapshot
Advanced compiler optimizations for supercomputers
inferredcites →https://doi.org/10.1145/800017.800539openalex-snapshot
A hierarchical basis for reordering transformations
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Systematic Preprocessing of Data Dependent Constructs for Embedded Systems
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Aggressive Loop Fusion for Improving Locality and Parallelism
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Memory-Constrained Communication Minimization for a Class of Array Computations
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With-Loop Fusion for Data Locality and Parallelism
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Locality Enhancement by Array Contraction
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A Compiler Framework for Tiling Imperfectly-Nested Loops
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Optimization of Memory Usage Requirement for a Class of Loops Implementing Multi-dimensional Integrals
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Improving Cache Effectiveness through Array Data Layout Manipulation in SAC
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Locality Enhancement for Large-Scale Shared-Memory Multiprocessors
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Impact of Tile-Size Selection for Skewed Tiling
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Cache Optimization for Coarse Grain Task Parallel Processing Using Inter-Array Padding
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A Comparison of Compiler Tiling Algorithms
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A Study of the Usefulness of Producer/Consumer Synchronization
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A Polynomial-Time Algorithm for Memory Space Reduction
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A Performance Study for Iterative Stencil Loops on GPUs with Ghost Zone Optimizations
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Improving the parallelism of iterative methods by aggressive loop fusion
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Data locality optimization of interference graphs based on polyhedral computations
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Loop Distribution and Fusion with Timing and Code Size Optimization
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A polynomial-time algorithm for memory space reduction
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Improving effective bandwidth through compiler enhancement of global cache reuse
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Energy minimization with loop fusion and multi-functional-unit scheduling for multidimensional DSP
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Polyhedral space generation and memory estimation from interface and memory models of real-time video systems
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Merging compositions of array skeletons in SaC
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Transforming Complex Loop Nests for Locality
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Case studies in determining the optimal field programmable gate array design for computing highly parallelisable problems
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A Parametrized Loop Fusion Algorithm for Improving Parallelism and Cache Locality
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Exploiting wavefront parallelism on large-scale shared-memory multiprocessors
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Multi-dimensional incremental loop fusion for data locality
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Locus: A System and a Language for Program Optimization
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Memory requirement optimization with loop fusion and loop shifting
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Memory requirement optimization with loop fusion and loop shifting
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Loop Transformations for Power Consumption Reduction in Wireless Sensor Networks Memory: A Review
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Redundant computation partition on distributed-memory systems
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Improving efficency of mathematical functions in image processing by loop fusion
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Improving workload balance and code optimization in processor-in-memory systems
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Polynomial-time nested loop fusion with full parallelism
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Scheduling of wavefront parallelism on scalable shared-memory multiprocessors
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Combining loop fusion with prefetching on shared-memory multiprocessors
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Applying array contraction to a sequence of DOALL loops
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Applying array contraction to a sequence of DOALL loops
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Loop-synthesizing transformation for maintaining parallelism and enhancing locality
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Improving effective bandwidth through compiler enhancement of global cache reuse
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Optimal skewed tiling for cache locality enhancement
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Global communication optimization for tensor contraction expressions under memory constraints
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Memory minimization for tensor contractions using integer linear programming
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Performance modeling and automatic ghost zone optimization for iterative stencil loops on GPUs
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Data transformations for eliminating conflict misses
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The implementation and evaluation of fusion and contraction in array languages
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Data transformations for eliminating conflict misses
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The implementation and evaluation of fusion and contraction in array languages
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Eliminating conflict misses for high performance architectures
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Fusion of Parallel Array Operations
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New tiling techniques to improve cache temporal locality
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Search-based Model-driven Loop Optimizations for Tensor Contractions
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Model-driven search-based loop fusion optimization for handwritten code
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On the Transformation Optimization for Stencil Computation
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Fusion of Array Operations at Runtime
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