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Compiler-Assisted Workload Consolidation for Efficient Dynamic Parallelism on GPU
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-77220-0_21openalex-snapshot
Accelerating Large Graph Algorithms on the GPU Using CUDA
inferredcites →https://doi.org/10.1007/s11390-015-1500-yopenalex-snapshot
CUDA-NP: Realizing Nested Thread-Level Parallelism in GPGPU Applications
inferredcites →https://doi.org/10.1016/0743-7315(90)90087-6openalex-snapshot
Compiling collection-oriented languages onto massively parallel computers
inferredcites →https://doi.org/10.1109/icpp.2015.107openalex-snapshot
Nested Parallelism on GPU: Exploring Parallelization Templates for Irregular Loops and Recursive Computations
inferredcites →https://doi.org/10.1109/iiswc.2012.6402918openalex-snapshot
A quantitative study of irregular programs on GPUs
inferredcites →https://doi.org/10.1109/iiswc.2013.6704684openalex-snapshot
Pannotia: Understanding irregular GPGPU graph applications
inferredcites →https://doi.org/10.1109/iiswc.2014.6983039openalex-snapshot
Characterization and analysis of dynamic parallelism in unstructured GPU applications
inferredcites →https://doi.org/10.1109/iiswc.2014.6983052openalex-snapshot
Microarchitectural performance characterization of irregular GPU kernels
inferredcites →https://doi.org/10.1109/iiswc.2015.13openalex-snapshot
Performance Characterization of High-Level Programming Models for GPU Graph Analytics
inferredcites →https://doi.org/10.1109/inpar.2012.6339596openalex-snapshot
A study of Persistent Threads style GPU programming for GPGPU workloads
inferredcites →https://doi.org/10.1109/ipdps.2013.101openalex-snapshot
Deploying Graph Algorithms on GPUs: An Adaptive Solution
inferredcites →https://doi.org/10.1109/ipdps.2013.37openalex-snapshot
On Graphs, GPUs, and Blind Dating: A Workload to Processor Matchmaking Quest
inferredcites →https://doi.org/10.1109/ipdps.2014.59openalex-snapshot
Nitro: A Framework for Adaptive Code Variant Tuning
inferredcites →https://doi.org/10.1109/sc.2014.68openalex-snapshot
Efficient Sparse Matrix-Vector Multiplication on GPUs Using the CSR Storage Format
inferredcites →https://doi.org/10.1145/1837274.1837289openalex-snapshot
An effective GPU implementation of breadth-first search
inferredcites →https://doi.org/10.1145/1941553.1941590openalex-snapshot
Accelerating CUDA graph algorithms at maximum warp
inferredcites →https://doi.org/10.1145/1996130.1996160openalex-snapshot
Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework
inferredcites →https://doi.org/10.1145/2038037.1941590openalex-snapshot
Accelerating CUDA graph algorithms at maximum warp
inferredcites →https://doi.org/10.1145/2350716.2350751openalex-snapshot
Parallel PageRank computation using GPUs
inferredcites →https://doi.org/10.1145/2364527.2364563openalex-snapshot
Nested data-parallelism on the gpu
inferredcites →https://doi.org/10.1145/2398856.2364563openalex-snapshot
Nested data-parallelism on the gpu
inferredcites →https://doi.org/10.1145/2458523.2458531openalex-snapshot
Betweenness centrality on GPUs and heterogeneous architectures
inferredcites →https://doi.org/10.1145/2458523.2458533openalex-snapshot
Atomic-free irregular computations on GPUs
inferredcites →https://doi.org/10.1145/2503210.2503223openalex-snapshot
General transformations for GPU execution of tree traversals
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.future.2023.03.046openalex-snapshot
Modeling GPU Dynamic Parallelism for self similar density workloads
inferred← citeshttps://doi.org/10.1109/cgo53902.2022.9741284openalex-snapshot
A Compiler Framework for Optimizing Dynamic Parallelism on GPUs
inferred← citeshttps://doi.org/10.1109/hpca.2017.14openalex-snapshot
Controlled Kernel Launch for Dynamic Parallelism in GPUs
inferred← citeshttps://doi.org/10.1109/icoac44903.2018.8939085openalex-snapshot
Memory Aware Thread Aggregation Framework for Dynamic Parallelism in GPUs
inferred← citeshttps://doi.org/10.1109/icpads.2017.00082openalex-snapshot
An Analytical Study of Recursive Tree Traversal Patterns on Multi- and Many-Core Platforms
inferred← citeshttps://doi.org/10.1109/iiswc.2016.7581278openalex-snapshot
GPU concurrency choices in graph analytics
inferred← citeshttps://doi.org/10.1109/ipdpsw.2017.155openalex-snapshot
Auto-Tuning Strategies for Parallelizing Sparse Matrix-Vector (SpMV) Multiplication on Multi- and Many-Core Processors
inferred← citeshttps://doi.org/10.1109/isca45697.2020.00087openalex-snapshot
Independent Forward Progress of Work-groups
inferred← citeshttps://doi.org/10.1109/ispass.2017.7975269openalex-snapshot
Chai: Collaborative heterogeneous applications for integrated-architectures
inferred← citeshttps://doi.org/10.1109/tcc.2016.2541142openalex-snapshot
Segmented In-Advance Data Analytics for Fast Scientific Discovery
inferred← citeshttps://doi.org/10.1109/tpds.2021.3135329openalex-snapshot
TCStream: Large-Scale Graph Triangle-Counting on a single Machine using GPUs
inferred← citeshttps://doi.org/10.1145/3075564.3078889openalex-snapshot
An Enhanced Image Reconstruction Tool for Computed Tomography on GPUs
inferred← citeshttps://doi.org/10.1145/3079079.3079102openalex-snapshot
Optimizing recursive task parallel programs
inferred← citeshttps://doi.org/10.1145/3167132.3167240openalex-snapshot
A flexible and efficient container-based NFV platform for middlebox networking
inferred← citeshttps://doi.org/10.1145/3203217.3203243openalex-snapshot
Taming irregular applications via advanced dynamic parallelism on GPUs
inferred← citeshttps://doi.org/10.1145/3581784.3607038openalex-snapshot
Choosing the Best Parallelization and Implementation Styles for Graph Analytics Codes: Lessons Learned from 1106 Programs
inferred← citeshttps://doi.org/10.1145/3665251openalex-snapshot
Indigo3: A Parallel Graph Analytics Benchmark Suite for Exploring Implementation Styles and Common Bugs
inferred← citeshttps://doi.org/10.1145/3797905.3805620openalex-snapshot
Parallel Bidirectional A* Search for GPU-Accelerated Pathfinding
inferred← citeshttps://doi.org/10.14722/ndss.2024.241361openalex-snapshot
You Can Use But Cannot Recognize: Preserving Visual Privacy in Deep Neural Networks
inferred← citeshttps://doi.org/10.17760/d20262473openalex-snapshot
Energy efficient execution of heterogeneous applications
inferred← citeshttps://doi.org/10.5821/dissertation-2117-125844openalex-snapshot
Compiler and runtime based parallelization & optimization for GPUs
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