IT4Innovations & Blender

Welcome to IT4Innovations & Blender

Exploring high-performance computing and advanced rendering technologies.

High-Performance Rendering on Supercomputing Infrastructure

High-performance computing (HPC) is extensively used in computer graphics, particularly for image synthesis and the rendering of complex virtual scenes. Such rendering workflows have broad practical applications, including mechanical engineering, industrial and product design, and the entertainment industry.

To significantly accelerate rendering workloads, supercomputing resources can be employed to parallelize and scale the computation beyond the capabilities of local hardware.

Rendering-as-a-service

We provide a Python add-on for Blender, BRaaS-HPC, which converts a standard user-defined rendering task into a dedicated high-performance computing (HPC) job. The add-on functions as an SSH-based remote client, enabling transparent offloading of rendering workloads to supercomputing infrastructures.

The BRaaS-HPC add-on is available at: https://github.com/It4innovations/braas-hpc

Interactive Rendering and Computation on HPC Systems

We also provide BRaaS-HPC-Interactive, a Python add-on for Blender that enables interactive rendering and computational workflows on HPC clusters. Building on the core BRaaS-HPC functionality, this extension supports real-time interactive sessions with HPC resources, allowing users to execute custom commands and scripts directly on compute nodes while continuing to work within the Blender environment.

The BRaaS-HPC-Interactive add-on is available at: https://github.com/It4innovations/braas-hpc-interactive

Usage & User Projects

Chora by Gaia Radić

(2025)

Dejvický kampus by Michal Faltýnek

(2025)

Spring by Blender Studio

(2019)

Agent 327: Operation Barbershop by Blender Studio

(2017)

Scientific Visualization

Electric Motor

Volume rendering of velocity field in Blender Cycles

(2024)

Ball

Volume rendering of vortex Q-criterion in Blender Cycles

(2024)

Electric Motor - Interactive

Interactive remote volume rendering in Blender Cycles

(2024)

Train Simulator

Physically based rendering of virtual training scenes for machine learning in Blender Cycles.

(2022)

CT Volume Rendering

Computed tomography data were converted to OpenVDB and rendered using Blender Cycles.

(2022)

Moana Scene

Demonstration of GPU-accelerated rendering for massive production scenes in Blender Cycles.

(2022)

Publications

Jaros M., Riha L., Strakos P., Kozubek T.

Out-of-core aware multi-GPU rendering for large-scale scene visualization

(2026) Future Generation Computer Systems

Faltýnková M., Meca O., Brzobohatý T., Říha L., Jaroš M., Strakoš P.

Workflow for high-quality visualisation of large-scale CFD simulations by volume rendering

(2025) Advances in Engineering Software

Jaros M., Riha L., Strakos P., Kozubek T.

Multi-GPU Accelerated Rendering of Massive Scenes with Out-of-Core Support for CPU Memory

(2025) Lecture Notes in Computer Science, PPAM2024

Tuccari N. et.al.

High Performance Visualization for Astrophysics and Cosmology

(2025) Proceedings - 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2025

Strakos P., Jaros M., Riha L., Kozubek T.

Speed Up of Volumetric Non-Local Transform-Domain Filter Utilising HPC Architecture

(2023) Journal of Imaging

Jaros, M., Riha, L., Strakos, P., Spetko, M.

GPU Accelerated Path Tracing of Massive Scenes

(2021) ACM Transactions on Graphics

Jaros, M., Strakos, P., Riha, L., Maly, L.

Interactive Rendering with Blender Cycles for Virtual Reality using High Performance Computing Clusters

(2019) AIP Conference Proceedings

Jaros, M., Vysocky, O., Strakos, P., Spetko, M.

Energy consumption evaluation of Blender's image renderer in HPC environment

(2019) Proceedings of the Sixth International Conference on Parallel, Distributed, GPU and Cloud Computing for Engineering, Civil-Comp Press

Jaros, M., Strakos, P., Karasek, T.

Implementation of BM3D Filter on Intel Xeon Phi for Rendering in Blender Cycles

(2018) Lecture Notes in Computer Science

Jaros, M., Riha, L., Karasek, T., Strakos, P., Krpelik, D.

Rendering in Blender Cycles using MPI and Intel® Xeon Phi™

(2017) ACM International Conference Proceeding Series

Jaroš, M., Říha, L., Strakoš, P., Karásek, T., Vašatová, A., Jarošová, M., Kozubek, T.

Acceleration of Blender Cycles path-tracing engine using Intel® many integrated core architecture

(2015) Lecture Notes in Computer Science


Presentations

Bridging Cosmological Simulations and High-Quality Visualizations using HPC resources

(2025) 9th Users' Conference of IT4Innovations

Presented by P. Strakos

Jak dostat slona do mixeru

(2023) CZSK Blender Conference

Presented by M. Jaros

GPU-accelerated distributed rendering of massive scenes in Cycles

(2022) Blender Conference 2022 in Amsterdam

Presented by M. Jaros

Rendering on an HPC cluster with RAAS

(2019) 3rd Users Conference of IT4Innovations 2019 in Ostrava

Presented by P. Strakos

Cycles: High Performance Blending

(2019) Blender Conference 2019 in Amsterdam

Presented by L. Riha

Scientific data visualization using Blender & COVISE

(2019) Blender Conference 2019 in Amsterdam

Presented by P. Strakos

Blender in HPC Environment

(2018) Blender Conference 2018 in Amsterdam

Presented by L. Riha

Rendering in Blender Cycles using AVX-512 Vectorization

(2018) IXPUG Europe Spring 2018 in Bologna

Presented by M. Jaros and P. Strakos

Rendering in Blender Cycles Using Intel® Xeon Phi™ (Code Named Knights Landing)

(2017) Intel® HPC Developer Conference 2017 in Denver

Presented by L. Riha

Selected Intel® Xeon Phi™ Accelerated Libraries developed at IT4Innovations

(2017) 6th Annual Conference of IT4Innovations and 1st Users Conference of IT4Innovations 2017 in Ostrava

Presented by L. Riha and M. Merta and M. Jaros

Acceleration of Blender Cycles Render Engine using Intel® Xeon Phi™

(2017) IXPUG/EMEA 2017 at University of Cambridge

Presented by M. Merta

The Fundamentals: How to accelerate Blender with the Intel® Xeon Phi™ coprocessors

(2016) IXPUG/EMEA 2016 in Ostrava

Presented by M. Jaros


Posters

Scalable Volume Rendering of Billion-Cell CFD Simulations Using VFX Pipelines

(2025) Proceedings - SIGGRAPH 2025

Presented by P. Strakos

Toward Scalable Voxelization of Meshes with High Growth Rate

(2022) SC22 in Dallas

Presented by M. Hrabánková

Blender based Rendering-as-a-Service Platform for High Performance Computing Clusters

(2018) High-Performance Graphics 2018 in Vancouver

Presented by M. Jaros

Energy Consumption Optimization of Rendering in Blender Cycles on x86 Architectures

(2018) High-Performance Graphics 2018 in Vancouver

Presented by L. Riha

Interactive and Offline Rendering in Blender Cycles Using MPI and Intel® Xeon Phi™ Offload

(2016) SC16 in Salt Lake City

Presented by L. Riha

Projects

InnovAIte Slovakia: Illuminating Pathways for AI‑Driven Breakthroughs

Generating data from virtual environments in Blender

(2025-...)

REFRESH: Research Excellence For REgion Sustainability and High-tech Industries

Visualization of a laboratory for hydrogen production research

(2024-...)

SPACE: Scalable Parallel Astrophysical Codes for Exascale

Processing and visualization of A&C data in Blender

(2024-...)

TACR: Railway simulator for obsacle detection project

Generating data from virtual environments in Blender

(2020-2022)

About Us

Team Member

Lubomír Říha

Head of Infrastructure Research Lab

lubomir.riha@vsb.cz

Specialist in HPC cluster computation.

Team Member

Petr Strakoš

Senior Researcher

petr.strakos@vsb.cz

Focused on scientific visualization, ML and rendering services.

Team Member

Milan Jaroš

Researcher

milan.jaros@vsb.cz

Expert in GPU acceleration and path-tracing for massive scenes.