VLDB 2026 Research / reviewers in the wild / expert
Jose M. Nadal-Serrano
dblp:180/0095
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2016
0000-0002-1974-6836ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
GPUs and heterogeneous computing · 75% Performance modeling and evaluation · 25% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Performance modeling and evaluation
benchmarking |
0.2 | 1 | 2016 | A Performance Study of CUDA UVM versus Manual Optimizations in a Real-World Setup: Application to a Monte Carlo Wave-Particle Event-Based Interaction Model · IEEE Trans. Parallel Distributed Syst. 2016 |
GPUs and heterogeneous computing › GPU programming
CUDA |
0.2 | 1 | 2016 | A Performance Study of CUDA UVM versus Manual Optimizations in a Real-World Setup: Application to a Monte Carlo Wave-Particle Event-Based Interaction Model · IEEE Trans. Parallel Distributed Syst. 2016 |
GPUs and heterogeneous computing › GPU computing
GPU performance |
0.2 | 1 | 2016 | A Performance Study of CUDA UVM versus Manual Optimizations in a Real-World Setup: Application to a Monte Carlo Wave-Particle Event-Based Interaction Model · IEEE Trans. Parallel Distributed Syst. 2016 |
GPUs and heterogeneous computing › GPU memory management
unified virtual memory |
0.2 | 1 | 2016 | A Performance Study of CUDA UVM versus Manual Optimizations in a Real-World Setup: Application to a Monte Carlo Wave-Particle Event-Based Interaction Model · IEEE Trans. Parallel Distributed Syst. 2016 |
Computational science and engineering › numerical simulation
monte carlo simulation |
0.1 | 1 | 2016 | A Performance Study of CUDA UVM versus Manual Optimizations in a Real-World Setup: Application to a Monte Carlo Wave-Particle Event-Based Interaction Model · IEEE Trans. Parallel Distributed Syst. 2016 |
Methods — techniques the papers use, named apart from their topics
unified virtual memory · 0.5CUDA · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | A Performance Study of CUDA UVM versus Manual Optimizations in a Real-World Setup: Application to a Monte Carlo Wave-Particle Event-Based Interaction ModelabstractThe performance of a Monte Carlo model for the simulation of electromagnetic wave propagation in particle-filled atmospheres has been conducted for different CUDA versions and design approaches. The proposed algorithm exhibits a high degree of parallelism, which allows favorable implementation in a GPU. Practical implementation aspects of the model have been also explained and their impact assessed, such as the use of the different types of memories present in a GPU. A number of setups have been chosen in order to compare performance for manually optimized versus Unified Virtual Memory (UVM ) implementations for different CUDA versions. Features and relative performance impact of the different options have been discussed, extracting practical hints and rules useful to speed up CUDA programs. Jose M. Nadal-Serrano, Marisa López-Vallejo |
IEEE Trans. Parallel Distributed Syst. | 1 |