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May 8 – 12, 2023
Norfolk Waterside Marriott
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RenderCore – a new WebGPU-based rendering engine for ROOT-EVE

May 11, 2023, 3:00 PM
Hampton Roads Ballroom VI (Norfolk Waterside Marriott)

Hampton Roads Ballroom VI

Norfolk Waterside Marriott

235 East Main Street Norfolk, VA 23510
Oral Track 3 - Offline Computing Track 3 - Offline Computing


Tadel, Matevz (UCSD)


REve, the new generation of the ROOT event-display module, uses a web server-client model to guarantee exact data translation from the experiments' data analysis frameworks to users' browsers. Data is then displayed in various views, including high-precision 2D and 3D graphics views, currently driven by THREE.js rendering engine based on WebGL technology.

RenderCore, a computer graphics research oriented rendering engine, has been integrated into REve to optimize rendering performance as well as to enable the use of state-of-the-art techniques for object highlighting and object selection. It also allowed for an implementation of optimized instanced rendering through usage of custom shaders and rendering pipeline modifications.

To further the impact of this investment and ensure long-term viability of REve, RenderCore has been refactored on top of WebGPU, the next generation GPU interface for browsers that supports compute shaders and introduces significant improvements in GPU utilization. This leads to optimization of interchange data formats, decreases server-client traffic, and improves offloading of data visualization algorithms to the GPU.

FireworksWeb, physics analysis oriented event-display of the CMS experiment, will be used to demonstrate the results, focusing on optimized visualization of particle trajectories, and high-granularity calorimeters and targeting high data-volume events of heavy-ion collisions and high-luminosity LHC.

Next steps and directions will be discussed, such as porting parts of RenderCore and client-side REve code to C++ and compiling them into WebAssembly using Emscripten to further optimize the CPU performance of the rendering engine.

Consider for long presentation No

Primary authors

Tadel, Matevz (UCSD) Yagil, Avraham Kovalskyi, Dmytro (MIT) Mrak Tadel, Alja (UCSD) Bohak, Ciril (University of Ljubljana, Faculty of Computer and Information Science ) Strban, Sebastien (University of Ljubljana, Faculty of Computer and Information Science)

Presentation materials

Peer reviewing