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X: A Comprehensive Analytic Model for Parallel Machines

https://doi.org/10.1109/ipdps.2016.89

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What this work says

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

inferredcites →https://doi.org/10.1109/12.543711openalex-snapshot

An analytical model for designing memory hierarchies

inferredcites →https://doi.org/10.1109/hpca.2014.6835938openalex-snapshot

MRPB: Memory request prioritization for massively parallel processors

inferredcites →https://doi.org/10.1109/iccd.2010.5647747openalex-snapshot

Threads vs. caches: Modeling the behavior of parallel workloads

inferredcites →https://doi.org/10.1109/iiswc.2009.5306797openalex-snapshot

Rodinia: A benchmark suite for heterogeneous computing

inferredcites →https://doi.org/10.1109/inpar.2012.6339595openalex-snapshot

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

inferredcites →https://doi.org/10.1109/ipdps.2013.73openalex-snapshot

A Simplified and Accurate Model of Power-Performance Efficiency on Emergent GPU Architectures

inferredcites →https://doi.org/10.1109/l-ca.2009.4openalex-snapshot

Many-Core vs. Many-Thread Machines: Stay Away From the Valley

inferredcites →https://doi.org/10.1109/micro.2012.16openalex-snapshot

Cache-Conscious Wavefront Scheduling

inferredcites →https://doi.org/10.1109/micro.2014.11openalex-snapshot

Adaptive Cache Management for Energy-Efficient GPU Computing

inferredcites →https://doi.org/10.1145/1498765.1498785openalex-snapshot

Roofline

inferredcites →https://doi.org/10.1145/1555754.1555775openalex-snapshot

An analytical model for a GPU architecture with memory-level and thread-level parallelism awareness

inferredcites →https://doi.org/10.1145/2145816.2145819openalex-snapshot

A performance analysis framework for identifying potential benefits in GPGPU applications

inferredcites →https://doi.org/10.1145/2749246.2749265openalex-snapshot

Transit

inferredcites →https://doi.org/10.1145/2807591.2807606openalex-snapshot

Adaptive and transparent cache bypassing for GPUs

inferredcites →https://doi.org/10.2172/1089988openalex-snapshot

Toward a New Metric for Ranking High Performance Computing Systems

inferredcites →https://doi.org/10.2200/s00282ed1v01y201005csl002openalex-snapshot

Analytical Performance Modeling for Computer Systems

inferredcites →https://doi.org/10.2200/s00538ed1v01y201309csl007openalex-snapshot

Analytical Performance Modeling for Computer Systems, Second Edition

inferredcites →https://doi.org/10.5555/2523721.2523745openalex-snapshot

Neither more nor less: optimizing thread-level parallelism for GPGPUs

What points at this work

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

inferred← citeshttps://doi.org/10.1109/ccgrid49817.2020.00-37openalex-snapshot

Indicator-Directed Dynamic Power Management for Iterative Workloads on GPU-Accelerated Systems

inferred← citeshttps://doi.org/10.1109/cluster.2016.47openalex-snapshot

Extending the Roofline Model for Asynchronous Many-Task Runtimes

inferred← citeshttps://doi.org/10.1109/iiswc.2018.8573483openalex-snapshot

Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite

inferred← citeshttps://doi.org/10.1109/sc.2018.00071openalex-snapshot

Fault Tolerant One-sided Matrix Decompositions on Heterogeneous Systems with GPUs

inferred← citeshttps://doi.org/10.1109/sc41405.2020.00017openalex-snapshot

Density Matrix Quantum Circuit Simulation via the BSP Machine on Modern GPU Clusters

inferred← citeshttps://doi.org/10.1109/tpds.2019.2928289openalex-snapshot

Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect

inferred← citeshttps://doi.org/10.1109/tpds.2020.3045828openalex-snapshot

Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing GPUs

inferred← citeshttps://doi.org/10.1145/3126908.3126931openalex-snapshot

Exploring and analyzing the real impact of modern on-package memory on HPC scientific kernels

inferred← citeshttps://doi.org/10.1145/3152041.3152087openalex-snapshot

Verification of the Extended Roofline Model for Asynchronous Many Task Runtimes

inferred← citeshttps://doi.org/10.1145/3205289.3205294openalex-snapshot

Warp-Consolidation

inferred← citeshttps://doi.org/10.1145/3295500.3356169openalex-snapshot

BSTC

inferred← citeshttps://doi.org/10.1145/3458817.3476157openalex-snapshot

APNN-TC

inferred← citeshttps://doi.org/10.1145/3458817.3476169openalex-snapshot

SV-sim

inferred← citeshttps://doi.org/10.1145/3524059.3532379openalex-snapshot

Bring orders into uncertainty

inferred← citeshttps://doi.org/10.48550/arxiv.1809.09206openalex-snapshot

Power and Energy-efficiency Roofline Model for GPUs

inferred← citeshttps://doi.org/10.48550/arxiv.2106.12169openalex-snapshot

APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores

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