Juan Gómez-Luna
Nvidia (United Kingdom)(GB)
Publications by Year
Research Areas
Parallel Computing and Optimization Techniques, Advanced Data Storage Technologies, Advanced Memory and Neural Computing, Ferroelectric and Negative Capacitance Devices, Algorithms and Data Compression
Most-Cited Works
- → Processing data where it makes sense: Enabling in-memory computation(2019)265 cited
- → Processing-in-memory: A workload-driven perspective(2019)154 cited
- → Benchmarking a New Paradigm: Experimental Analysis and Characterization of a Real Processing-in-Memory System(2022)146 cited
- → A Modern Primer on Processing in Memory(2022)142 cited
- → MALLBA: A Library of Skeletons for Combinatorial Optimisation(2002)114 cited
- → GenASM: a high-performance, low-power approximate string matching acceleration framework for genome sequence analysis(2021)111 cited
- MQsim: a framework for enabling realistic studies of modern multi-queue SSD devices(2018)
- → FLIN: Enabling Fairness and Enhancing Performance in Modern NVMe Solid State Drives(2018)97 cited
- → NAPEL(2019)88 cited
- → Chai: Collaborative heterogeneous applications for integrated-architectures(2017)85 cited