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An Efficient Data-Dependence Profiler for Sequential and Parallel Programs

https://doi.org/10.1109/ipdps.2015.41

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What this work says

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

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Cetus – An Extensible Compiler Infrastructure for Source-to-Source Transformation

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Dynamic Race Detection with LLVM Compiler

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A Benchmark Suite for Evaluating Parallel Programming Models

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A profile-based tool for finding pipeline parallelism in sequential programs

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LLVM: a compilation framework for lifelong program analysis & transformation

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Alchemist: A Transparent Dependence Distance Profiling Infrastructure

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Runtime dependence computation and execution of loops on heterogeneous systems

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Automatically exploiting cross-invocation parallelism using runtime information

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Towards a communication characterization methodology for parallel applications

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Exploring Potential Parallelism of Sequential Programs with Superblock Reordering

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Discovery of Potential Parallelism in Sequential Programs

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A communication characterisation of Splash-2 and Parsec

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The SPLASH-2 programs: characterization and methodological considerations

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Automatic Thread Extraction with Decoupled Software Pipelining

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Implementing Signatures for Transactional Memory

inferredcites →https://doi.org/10.1109/micro.2010.49openalex-snapshot

SD3: A Scalable Approach to Dynamic Data-Dependence Profiling

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Profiling Data-Dependence to Assist Parallelization: Framework, Scope, and Optimization

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Library-Independent Data Race Detection

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POLLY — PERFORMING POLYHEDRAL OPTIMIZATIONS ON A LOW-LEVEL INTERMEDIATE REPRESENTATION

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Concurrent programming without locks

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Function level parallelism driven by data dependencies

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Software development is program transformation

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Kremlin

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Kremlin

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The SPLASH-2 programs

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Multi-slicing: a compiler-supported parallel approach to data dependence profiling

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Space/time trade-offs in hash coding with allowable errors

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The NAS Parallel Benchmarks

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A Benchmark Suite for Evaluating Parallel Programming Models

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Implementing Signatures for Transactional Memory

What points at this work

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

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Multigraph learning for parallelism discovery in sequential programs

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Accelerating Data-Dependence Profiling with Static Hints

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A Program Logic for Dependence Analysis

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Approximate Data Dependence Profiling Based on Abstract Interval and Congruent Domains

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Skipping Non-essential Instructions Makes Data-Dependence Profiling Faster

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Safer Parallelization

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Beyond Data Parallelism: Identifying Parallel Tasks in Sequential Programs

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Fast Data-Dependence Profiling by Skipping Repeatedly Executed Memory Operations

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Towards parallelism detection of sequential programs with graph neural network

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Unveiling parallelization opportunities in sequential programs

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Fast data-dependence profiling through prior static analysis

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Accelerating Data Dependence Profiling Through Abstract Interpretation of Loop Instructions

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Distributed Parallelizability Analysis of Legacy Code

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Lightweight Dependency Checking for Parallelizing Loops with Non-Deterministic Dependency on GPU

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Characterizing Loop-Level Communication Patterns in Shared Memory

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Approximate Data Dependence Graph Generation Using Adaptive Sampling

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Parallelizing Audio Analysis Applications - A Case Study

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Automatic Parallel Pattern Detection in the Algorithm Structure Design Space

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Dependence-Based Code Transformation for Coarse-Grained Parallelism

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Brief Announcement

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Advances in Engineering Software for Multicore Systems

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