gpu-computing
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Video stabilization using gyroscope data
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Mar 26, 2022 - Rust
Heston model has accurate density approximations for European option prices, which are of interest.
The module implementing this method should live under tf_quant_finance/volatility/heston_approximation.py. It should support both European option puts and calls approximations. Tests should be in heston_approximation_test.py in the same folder.
Lingvo
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Mar 24, 2022 - Python
Resource scheduling and cluster management for AI
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Mar 18, 2022 - JavaScript
GPGPU microprocessor architecture
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Dec 12, 2021 - C
The write-once-run-anywhere GPGPU library for Rust
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Apr 1, 2021 - Rust
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
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Mar 23, 2022 - HTML
CUDA integration for Python, plus shiny features
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Mar 3, 2022 - Python
Simulation of spiking neural networks (SNNs) using PyTorch.
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Mar 23, 2022 - Python
Fast Clojure Matrix Library
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Mar 9, 2022 - Clojure
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
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Mar 20, 2022 - Nim
Open issue to openly discuss potential ideas or improvements, whether on documentation, interfaces, examples, bug fixes, etc.
Speed up test suite
The standard accelerate test suite, used by all the backends, can be quite slow. Several of the tests are significantly slower than the others, for example segmented folds and scans, which I believe is because the reference implementations are very inefficient. Writing some more efficient reference implementations (e.g. using Data.Vector.Unboxed) should help speed things up.
LuxCore source repository
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Mar 20, 2022 - C++
This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
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Sep 8, 2018 - Shell
Add Javadoc to document the examples in TornadoVM.
This affects the packages under the examples module:
The documentation is at the class-level and it will contain a description of how the TornadoVM API is used for each example. Additionally, it contains how to run the example
stdgpu: Efficient STL-like Data Structures on the GPU
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Jul 26, 2021 - C++
Hi,
one could and should experiment with Interprocedural optimization (IPO) also known as link-time optimization (LTO), especially on the host side for smaller binaries and potentially faster code. It's supported by GCC, Clang, and ICC, among others, which are our typical go-to compilers in HPC.
It's very easy to implement as well
Just an FYI whilst I was trawling through the ROCm GitHub page:
https://rocmdocs.amd.com/en/latest/Programming_Guides/Programming-Guides.html#
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Mar 15, 2022
List of Deep Learning Cloud Providers
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Mar 23, 2022
Thin C++-flavored wrappers for the CUDA Runtime API
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Mar 25, 2022 - C++
An efficient C++17 GPU numerical computing library with Python-like syntax
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Mar 24, 2022 - C++
- M: Mute (muting is not a node-wrangler feature, but I include it here because it's also node editor quality of life)
- Ctrl+Shift+LMB: View texture, material or volume node (create emission viewer if necessary)
- Ctrl+T: Create image node+attached mapping node
- Ctrl+Shift+T: Open file picker, user selects a bunch of textures, create disney material with textures attached to t
The problem is that the OpenCL types in https://github.com/triSYCL/triSYCL/blob/master/include/triSYCL/opencl_types.hpp are defined on the host according to the x86-64 Linux ABI which depends on the CPU & OS instead of using the description from https://www.khronos.org/registry/OpenCL/specs/2.2/html/OpenCL_C.html#built-in-scalar-data-types
Note that the system-wide cl_size_t has been removed
High-performance Bayesian Data Analysis on the GPU in Clojure
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Sep 10, 2020 - Clojure
Vulkan compute for people
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Mar 10, 2021 - C++
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Problem:
Could you also print a feature name, not o