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Equalizer: Dynamic Tuning of GPU Resources for Efficient Execution
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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TAP: A TLP-aware cache management policy for a CPU-GPU heterogeneous architecture
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Warped register file: A power efficient register file for GPGPUs
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Rodinia: A benchmark suite for heterogeneous computing
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inferredcites →https://doi.org/10.1109/ipdps.2013.28openalex-snapshot
Data-Driven Versus Topology-driven Irregular Computations on GPUs
inferredcites →https://doi.org/10.1109/ispass.2009.4919648openalex-snapshot
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inferredcites →https://doi.org/10.1109/micro.2006.30openalex-snapshot
Live, Runtime Phase Monitoring and Prediction on Real Systems with Application to Dynamic Power Management
inferredcites →https://doi.org/10.1109/micro.2012.16openalex-snapshot
Cache-Conscious Wavefront Scheduling
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Active Low-Power Modes for Main Memory with MemScale
inferredcites →https://doi.org/10.1109/pact.2011.17openalex-snapshot
Improving Throughput of Power-Constrained GPUs Using Dynamic Voltage/Frequency and Core Scaling
inferredcites →https://doi.org/10.1109/pact.2013.6618806openalex-snapshot
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inferredcites →https://doi.org/10.1145/2000064.2000093openalex-snapshot
Energy-efficient mechanisms for managing thread context in throughput processors
inferredcites →https://doi.org/10.1145/2024723.2000093openalex-snapshot
Energy-efficient mechanisms for managing thread context in throughput processors
inferredcites →https://doi.org/10.1145/2525526.2525852openalex-snapshot
A measurement study of GPU DVFS on energy conservation
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.
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Otimização de Fábricas de IA Sustentáveis por Compartilhamento de GPU
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