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Disambiguation of "Pekhimenko, Gennady"

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Pavise: Integrating Fault Tolerance Support for Persistent Memory Applications.

, , , , and . PACT, page 109-123. ACM, (2022)

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Gennady Uryadov

Gennady Samorodnitsky

Gennady Fedosenko

Gennady Churakov

Gennady Tenin

 

Other publications of authors with the same name

Reducing DRAM Latency by Exploiting Design-Induced Latency Variation in Modern DRAM Chips., , , , , , , and . CoRR, (2016)Efficient Program Compilation Through Machine Learning Techniques., and . Software Automatic Tuning, From Concepts to State-of-the-Art Results, Springer, (2010)Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network Training., , and . UIST, page 126-139. ACM, (2020)GPUPool: A Holistic Approach to Fine-Grained GPU Sharing in the Cloud., , , and . PACT, page 317-332. ACM, (2022)Linearly compressed pages: a low-complexity, low-latency main memory compression framework., , , , , , , and . MICRO, page 172-184. ACM, (2013)TiLT: A Time-Centric Approach for Stream Query Optimization and Parallelization., , , and . ASPLOS (2), page 818-832. ACM, (2023)Page overlays: an enhanced virtual memory framework to enable fine-grained memory management., , , , , , , and . ISCA, page 79-91. ACM, (2015)Rollback-free value prediction with approximate loads., , , , , , , and . PACT, page 493-494. ACM, (2014)Priority-based Parameter Propagation for Distributed DNN Training., , , , and . SysML, mlsys.org, (2019)Daydream: Accurately Estimating the Efficacy of Optimizations for DNN Training., , and . USENIX ATC, page 337-352. USENIX Association, (2020)