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As a PBF solver FleX can't directly compete with a specialized FLIP one like Cataclysm when it comes to simulating hundreds of thousands of fluid particles in real-time, but it was never meant to do such large-scale simulations by design. FleX is a different type of solver, it can model not only liquids but solids, cloth and soft bodies (hence the term: "unified"). It also supports phase changes between different material types, which means you can take a mesh, turn it into liquid, freeze the liquid and vaporize it, for example.
In the role of a fluid solver, FleX is free to use, runs on any consumer-grade GPU newer than GTX 650, requires no simulation domes to be set up or voxel resolutions to be calculated, can be easily integrated into pretty much any game engine or DCC, produces very high-quality results and is FAST (again: for a PBF solver). To me it looks like sort of a middle-ground solution for small or medium-scale simulations.
This is a collection of thoughts on securing a modern Apple Mac computer using macOS (formerly "OS X") 10.12 "Sierra", as well as steps to improving online privacy.
This guide is targeted to “power users” who wish to adopt enterprise-standard security, but is also suitable for novice users with an interest in improving their privacy and security on a Mac.
There is no security silver bullet. A system is only as secure as its administrator is capable of making it.
Our productivity tremendously depends on the tools we use. One of the fundamental tools for the software developers, researchers and analysts is the programming language. There are no silver bullets, each language fits the best for the specific purpose. Sometime it’s critical to prototype fast and we often use Python, but when it comes to the performance then C/C++ is the standard choice.
The Open Source movement significantly accelerated evolution and capabilities of the software ecosystems. It was literally impossible to build a full-fledged operational system within one-two yeas no so long ago. You can argue that Linux did it, but Linux was only a kernel that uses GNU ecosystem being developed many years before. In contrary, Redox OS appeared in the end of 2015 being developed using Rust language ecosystem and become probably the most secure existing OS. This is an excellent example of how the language selection impacts the project destiny (execution speed, reliability, security, development community, etc.).
I’m starting a series of articles about how to render real time 2D/3D graphics on RGB LED matrix panels with a Raspberry Pi. Even if the resolution of graphics is very low (32×32 pixels for a 32×32 LED display), drawing 3D stuff on that kind of display is very cool!
auto program = new globjects::Program();
program->setUniform("extent", glm::vec2(1.0f, 0.5f)));
GeeXLab 0.13.0 comes with a new set of functions to deal with all of the LED backlighting and RGB capabilities of Logitech G products.
Thanks to this support, every owner of a Logitech G product can easily control the RGB lighting of its device.
The new set of functions (on Windows only) is available in Lua and Python and the documentation is available here: gh_logiled.
Support for 7th Generation Intel® Core™ Processors on Microsoft Windows* and Linux* operating systems
Windows 10 Anniversary Update support
Yocto Project* support
- These processors are supported as target systems when running the Apollo Lake Yocto BSP (other OSes are not supported for these processors): 7th Generation Intel® Pentium® Processor J4000/N4000 and 7th Generation Intel® Celeron Processor J3000/N3000 Series for Desktop
- Offline compiler support with GPU assembly code generation
- Debug OpenCL kernels using the Yocto GPU driver on host targets (6th and 7th Generation Intel® Core Processor)
OpenCL™ 2.1 and SPIR-V* support on Linux* OS
- OpenCL 2.1 development environment with the experimental CPU-only runtime for OpenCL 2.1
- SPIR-V generation support with Intel® Code Builder for OpenCL™ offline compiler and Kernel Development Framework including textual representation of SPIR-V binaries
New analysis features in Kernel Development Framework for Linux* OS
- HW counters support
- Latency analysis on 6th and 7th Generation Intel® Core™ Processors
actually, nvflash utility is NVIDIA software or third party software?
The next generation of the OpenGL specification, Vulkan, has been redesigned from the ground up, giving applications direct control over GPU acceleration for unprecedented performance and predictability. Vulkan™ Programming Guide is the essential, authoritative reference to this new standard for experienced graphics programmers in all Vulkan environments.
Vulkan API lead Graham Sellers (with contributions from language lead John Kessenich) presents example-rich introductions to the portable Vulkan API and the new SPIR-V shading language. The author introduces Vulkan, its goals, and the key concepts framing its API, and presents a complex rendering system that demonstrates both Vulkan’s uniqueness and its exceptional power.
You’ll find authoritative coverage of topics ranging from drawing to memory, and threading to compute shaders. The author especially shows how to handle tasks such as synchronization, scheduling, and memory management that are now the developer’s responsibility.
Vulkan™ Programming Guide introduces powerful 3D development techniques for fields ranging from video games to medical imaging, and state-of-the-art approaches to solving challenging scientific compute problems. Whether you’re upgrading from OpenGL or moving to open-standard graphics APIs for the first time, this guide will help you get the results and performance you’re looking for.
Extensively tested code examples to demonstrate Vulkan’s capabilities and show how it differs from OpenGL
Expert guidance on getting started and working with Vulkan’s new memory system
Thorough discussion of queues, commands, moving data, and presentation
Full explanations of the SPIR-V binary shading language and compute/graphics pipelines
Detailed discussions of drawing commands, geometry and fragment processing, synchronization primitives, and reading Vulkan data into applications
A complete case study application: deferred rendering using complex multi-pass architecture and multiple processing queues
Appendixes presenting Vulkan functions and SPIR-V opcodes, as well as a complete Vulkan glossary