J. G. R. Lima
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View article: BIOLOGIA E MORFOMETRIA DE TENEBRIO MOLITOR (COLEOPTERA: TENEBRIONIDAE) EM CONDIÇÕES DE LABORATÓRIO
BIOLOGIA E MORFOMETRIA DE TENEBRIO MOLITOR (COLEOPTERA: TENEBRIONIDAE) EM CONDIÇÕES DE LABORATÓRIO Open
The beetle Tenebrio molitor is a species of insect of the family Tenebrionidae, of the order Coleoptera. It is commonly known as the mealworm or mealworm. As it is a cosmopolitan species, a notorious pest of grains in storage and because i…
View article: Accelerating detector simulations with Celeritas: Profiling and performance optimizations
Accelerating detector simulations with Celeritas: Profiling and performance optimizations Open
Celeritas is a GPU-optimized Monte Carlo (MC) particle transport code designed to meet the growing computational demands of next-generation high energy physics (HEP) experiments. It provides efficient simulation of electromagnetic (EM) phy…
View article: GPU-friendly surface model for Monte-Carlo detector simulations
GPU-friendly surface model for Monte-Carlo detector simulations Open
The demands for Monte-Carlo simulation are drastically increasing with the Large Hadron Collider’s high-luminosity upgrade, and are expected to exceed the currently available compute resources. At the same time, modern high-performance com…
View article: Celeritas Midterm SciDAC Report
Celeritas Midterm SciDAC Report Open
Celeritas is a new Monte Carlo (MC) code that helps satisfy the increasing demand for high energy physics (HEP) detector simulation, using Graphics Processing Unit (GPU) hardware on high performance computing (HPC) systems to model Large H…
View article: Celeritas R&D Report: Accelerating Geant4
Celeritas R&D Report: Accelerating Geant4 Open
Celeritas is a new Monte Carlo (MC) detector simulation code designed for computationally intensive applications on high-performance heterogeneous architectures. In the past two years Celeritas has advanced from prototyping a Graphics Proc…
View article: Celeritas: Accelerating Geant4 with GPUs
Celeritas: Accelerating Geant4 with GPUs Open
Celeritas [1] is a new Monte Carlo (MC) detector simulation code designed for computationally intensive applications (specifically, High Lumi- nosity Large Hadron Collider (HL-LHC) simulation) on high-performance heterogeneous architecture…
View article: In-memory Geometry Converter
In-memory Geometry Converter Open
The slides describe the Geant4-to-VecGeom in-memory geometry converter, including some details on its development and validation. (To be presented at the Geometry Session of the 2023 Geant4 Collaboration Meeting, in Hokkaido, Japan, Sept. …
View article: An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations
An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations Open
Using reinforcement learning for automated theorem proving has recently received much attention. Current approaches use representations of logical statements that often rely on the names used in these statements and, as a result, the model…
View article: An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations
An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations Open
Using reinforcement learning for automated theorem proving has recently received much attention. Current approaches use representations of logical statements that often rely on the names used in these statements and, as a result, the model…
View article: Detector and Beamline Simulation for Next-Generation High Energy Physics Experiments
Detector and Beamline Simulation for Next-Generation High Energy Physics Experiments Open
The success of high energy physics programs relies heavily on accurate detector simulations and beam interaction modeling. The increasingly complex detector geometries and beam dynamics require sophisticated techniques in order to meet the…
View article: A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases Open
Knowledge Base Question Answering (KBQA) tasks that involve complex reasoning are emerging as an important research direction. However, most existing KBQA datasets focus primarily on generic multi-hop reasoning over explicit facts, largely…
View article: Celeritas
Celeritas Open
Celeritas is a new Monte Carlo transport code designed for high-performance simulation of high-energy physics detectors.
View article: GeantV
GeantV Open
Full detector simulation was among the largest CPU consumers in all CERN experiment software stacks for the first two runs of the Large Hadron Collider. In the early 2010s, it was projected that simulation demands would scale linearly with…
View article: Novel features and GPU performance analysis for EM particle transport in the Celeritas code
Novel features and GPU performance analysis for EM particle transport in the Celeritas code Open
Celeritas is a new computational transport code designed for high-performance simulation of high-energy physics detectors. This work describes some of its current capabilities and the design choices that enable the rapid development of eff…
View article: GeantV: Results from the prototype of concurrent vector particle transport simulation in HEP
GeantV: Results from the prototype of concurrent vector particle transport simulation in HEP Open
Full detector simulation was among the largest CPU consumer in all CERN experiment software stacks for the first two runs of the Large Hadron Collider (LHC). In the early 2010's, the projections were that simulation demands would scale lin…
View article: Geant Exascale Pilot Project
Geant Exascale Pilot Project Open
The upcoming generation of exascale HPC machines will all have most of their computing power provided by GPGPU accelerators. In order to be able to take advantage of this class of machines for HEP Monte Carlo simulations, we started to dev…
View article: Recent progress with the top to bottom approach to vectorization in GeantV
Recent progress with the top to bottom approach to vectorization in GeantV Open
SIMD acceleration can potentially boost by factors the application throughput. Achieving efficient SIMD vectorization for scalar code with complex data flow and branching logic, goes however way beyond breaking some loop dependencies and r…
View article: Electromagnetic physics vectorization in the GeantV transport framework
Electromagnetic physics vectorization in the GeantV transport framework Open
The development of the GeantV Electromagnetic (EM) physics package has evolved following two necessary paths towards code modernization. A first phase required the revision of the main electromagnetic physics models and their implementatio…
View article: GeantV alpha release
GeantV alpha release Open
In the fall 2016, GeantV went through a thorough community evaluation of the project status and of its strategy for sharing the R&D; results with the LHC experiments and with the HEP simulation community in general. Following this discussi…
View article: HEP Software Foundation Community White Paper Working Group - Detector Simulation
HEP Software Foundation Community White Paper Working Group - Detector Simulation Open
A working group on detector simulation was formed as part of the high-energy physics (HEP) Software Foundation's initiative to prepare a Community White Paper that describes the main software challenges and opportunities to be faced in the…
View article: Performance of GeantV EM Physics Models
Performance of GeantV EM Physics Models Open
The recent progress in parallel hardware architectures with deeper vector pipelines or many-cores technologies brings opportunities for HEP experiments to take advantage of SIMD and SIMT computing models. Launched in 2013, the GeantV proje…
View article: Stochastic optimization of GeantV code by use of genetic algorithms
Stochastic optimization of GeantV code by use of genetic algorithms Open
GeantV is a complex system based on the interaction of different modules needed for detector simulation, which include transport of particles in fields, physics models simulating their interactions with matter and a geometrical modeler lib…
View article: Verification of Electromagnetic Physics Models for Parallel Computing Architectures in the GeantV Project
Verification of Electromagnetic Physics Models for Parallel Computing Architectures in the GeantV Project Open
An intensive R&D and programming effort is required to accomplish new challenges posed by future experimental high-energy particle physics (HEP) programs. The GeantV project aims to narrow the gap between the performance of the existing HE…
View article: GeantV: from CPU to accelerators
GeantV: from CPU to accelerators Open
The GeantV project aims to research and develop the next generation simulation software describing the passage of particles through matter, targeting not only modern CPU architectures, but also more exotic resources such as GPGPU, Inte.
View article: GeantV: from CPU to accelerators
GeantV: from CPU to accelerators Open
The GeantV project aims to research and develop the next-generation simulation software describing the passage of particles through matter. While the modern CPU architectures are being targeted first, resources such as GPGPU, Intel© Xeon P…
View article: Electromagnetic Physics Models for Parallel Computing Architectures
Electromagnetic Physics Models for Parallel Computing Architectures Open
The recent emergence of hardware architectures characterized by many-core or accelerated processors has opened new opportunities for concurrent programming models taking advantage of both SIMD and SIMT architectures. GeantV, a next generat…
View article: First experience of vectorizing electromagnetic physics models for detector simulation
First experience of vectorizing electromagnetic physics models for detector simulation Open
The recent emergence of hardware architectures characterized by many-core or accelerated processors has opened new opportunities for concurrent programming models taking advantage of both SIMD and SIMT architectures. The GeantV vector prot…
View article: The GeantV project: preparing the future of simulation
The GeantV project: preparing the future of simulation Open
Detector simulation is consuming at least half of the HEP computing cycles, and even so, experiments have to take hard decisions on what to simulate, as their needs greatly surpass the availability of computing resources. New experiments s…
View article: Adaptive track scheduling to optimize concurrency and vectorization in GeantV
Adaptive track scheduling to optimize concurrency and vectorization in GeantV Open
The GeantV project is focused on the R&D; of new particle transport techniques to maximize parallelism on multiple levels, profiting from the use of both SIMD instructions and co-processors for the CPU-intensive calculations specific to th…