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ORCIDHamish Nicholson
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2020 – today
- 2025
[c5]Hamish Nicholson
, Konstantinos Chasialis, Antonio Boffa, Anastasia Ailamaki:
The Effectiveness of Compression for GPU-Accelerated Queries on Out-of-Memory Datasets. DaMoN 2025: 10:1-10:10- 2024
- [j1]Hamish Nicholson, Periklis Chrysogelos, Anastasia Ailamaki:
HPCache: memory-efficient OLAP through proportional caching revisited. VLDB J. 33(6): 1775-1791 (2024) - [i3]Aunn Raza, Hamish Nicholson, Ioanna Tsakalidou, Anna Herlihy, Prathamesh Tagore, Anastasia Ailamaki:
Declarative Concurrent Data Structures. CoRR abs/2404.13359 (2024) - 2023
- [c4]Hamish Nicholson, Aunn Raza, Periklis Chrysogelos, Anastasia Ailamaki:
HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics. CIDR 2023 - [c3]Hamish Nicholson, Andreea Nica, Aunn Raza, Viktor Sanca, Anastasia Ailamaki:
Chaosity: Understanding Contemporary NUMA-Architectures. TPCTC 2023: 59-76 - 2022
- [c2]Hamish Nicholson, Periklis Chrysogelos, Anastasia Ailamaki:
HPCache: Memory-Efficient OLAP Through Proportional Caching. DaMoN 2022: 7:1-7:9 - 2020
- [c1]Mel McCurrie, Hamish Nicholson, Walter J. Scheirer, Samuel E. Anthony:
Modeling Score Distributions and Continuous Covariates: A Bayesian Approach. IJCB 2020: 1-9 - [i2]Hamish Nicholson:
Psychophysical Evaluation of Deep Re-Identification Models. CoRR abs/2005.02136 (2020) - [i1]Mel McCurrie, Hamish Nicholson, Walter J. Scheirer, Samuel E. Anthony:
Modeling Score Distributions and Continuous Covariates: A Bayesian Approach. CoRR abs/2009.09583 (2020)
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