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TBPoint: Reducing Simulation Time for Large-Scale GPGPU Kernels

https://doi.org/10.1109/ipdps.2014.53
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What this work says

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

inferredcites →https://doi.org/10.1109/hpca.2009.4798270openalex-snapshot
A first-order fine-grained multithreaded throughput model
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A quantitative study of irregular programs on GPUs
inferredcites →https://doi.org/10.1109/ispass.2005.1430578openalex-snapshot
The Strong correlation Between Code Signatures and Performance
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Sampled simulation of multi-threaded applications
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Pinpointing Representative Portions of Large Intel® Itanium® Programs with Dynamic Instrumentation
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Pin
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Pin
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An analytical model for a GPU architecture with memory-level and thread-level parallelism awareness
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An adaptive performance modeling tool for GPU architectures
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Ocelot
inferredcites →https://doi.org/10.1145/2145816.2145819openalex-snapshot
A performance analysis framework for identifying potential benefits in GPGPU applications
inferredcites →https://doi.org/10.1145/2465529.2465540openalex-snapshot
Accelerating GPGPU architecture simulation
inferredcites →https://doi.org/10.1145/605397.605403openalex-snapshot
Automatically characterizing large scale program behavior

What points at this work

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

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Graph Mining and Machine Learning for Shader Codes Analysis to Accelerate GPU Tuning
inferred← citeshttps://doi.org/10.1109/dac.2018.8465831openalex-snapshot
NNSim: Fast Performance Estimation Based on Sampled Simulation of GPGPU Kernels for Neural Networks
inferred← citeshttps://doi.org/10.1109/hpca.2019.00062openalex-snapshot
A Hybrid Framework for Fast and Accurate GPU Performance Estimation through Source-Level Analysis and Trace-Based Simulation
inferred← citeshttps://doi.org/10.1109/hpca57654.2024.00088openalex-snapshot
GPU Scale-Model Simulation
inferred← citeshttps://doi.org/10.1109/iccbdai66607.2025.11387896openalex-snapshot
SAGE: Semantic-Aware GPU Kernel Embedding for Efficient Performance Simulation
inferred← citeshttps://doi.org/10.1109/iiswc.2015.14openalex-snapshot
Fast Computational GPU Design with GT-Pin
inferred← citeshttps://doi.org/10.1109/ispass48437.2020.00017openalex-snapshot
SeqPoint: Identifying Representative Iterations of Sequence-Based Neural Networks
inferred← citeshttps://doi.org/10.1109/ispass57527.2023.00030openalex-snapshot
Sieve: Stratified GPU-Compute Workload Sampling
inferred← citeshttps://doi.org/10.1109/ispass61541.2024.00024openalex-snapshot
Zatel: Sample Complexity-Aware Scale-Model Simulation for Ray Tracing
inferred← citeshttps://doi.org/10.1109/micro61859.2024.00022openalex-snapshot
HyFiSS: A Hybrid Fidelity Stall-Aware Simulator for GPGPUs
inferred← citeshttps://doi.org/10.1109/pact65351.2025.00042openalex-snapshot
TPE: XPU-Point: Simulator-Agnostic Sample Selection Methodology for Heterogeneous CPU-GPU Applications
inferred← citeshttps://doi.org/10.1109/tc.2015.2395427openalex-snapshot
GPGPU-MiniBench: Accelerating GPGPU Micro-Architecture Simulation
inferred← citeshttps://doi.org/10.1109/tcad.2015.2481796openalex-snapshot
Accelerating Architectural Simulation Via Statistical Techniques: A Survey
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Characterizing and Exploiting Soft Error Vulnerability Phase Behavior in GPU Applications
inferred← citeshttps://doi.org/10.1109/tpds.2019.2958343openalex-snapshot
Efficient Performance Estimation and Work-Group Size Pruning for OpenCL Kernels on GPUs
inferred← citeshttps://doi.org/10.1145/2818693openalex-snapshot
MINIME-GPU
inferred← citeshttps://doi.org/10.1145/3195970.3196079openalex-snapshot
NNsim
inferred← citeshttps://doi.org/10.1145/3466752.3480100openalex-snapshot
Principal Kernel Analysis: A Tractable Methodology to Simulate Scaled GPU Workloads
inferred← citeshttps://doi.org/10.1145/3613424.3623773openalex-snapshot
Photon: A Fine-grained Sampled Simulation Methodology for GPU Workloads
inferred← citeshttps://doi.org/10.1145/3695053.3731068openalex-snapshot
GCStack+GCScaler: Fast and Accurate GPU Performance Analyses Using Fine-Grained Stall Cycle Accounting and Interval Analysis
inferred← citeshttps://doi.org/10.1145/3725843.3757107openalex-snapshot
Swift and Trustworthy Large-Scale GPU Simulation with Fine-Grained Error Modeling and Hierarchical Clustering
inferred← citeshttps://doi.org/10.1145/3797905.3800517openalex-snapshot
GRASP: Fine-grained and Adaptive Sampled Simulation for GPU Performance Modeling
inferred← citeshttps://doi.org/10.1145/3832810.3832904openalex-snapshot
GCL-Sampler: Discovering Kernel Similarity for Sampled GPU Simulation via Graph Contrastive Learning
inferred← citeshttps://doi.org/10.17760/d20323961openalex-snapshot
Characterization and remediation for soft error reliability on GPU
inferred← citeshttps://doi.org/10.23919/date64628.2025.10992801openalex-snapshot
Swift-Sim: A Modular and Hybrid GPU Architecture Simulation Framework
inferred← citeshttps://doi.org/10.7916/d8kw5fvropenalex-snapshot
Finding, Measuring, and Reducing Inefficiencies in Contemporary Computer Systems
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