- Making Awkward Arrays work in the CUDA target🔍
- How to use Awkward Arrays in Numba's CUDA target🔍
- Getting started — Awkward Array 2.6.9 documentation🔍
- Reusable Numba extension for CUDA target? #359🔍
- Creating an infrastructure for a CUDA backend for Awkward Arrays🔍
- Working with really large arrays in CUDA 🔍
- Newest 'awkward|array' Questions🔍
- awkward|cuda|kernels🔍
Making Awkward Arrays work in the CUDA target
Making Awkward Arrays work in the CUDA target - Numba Discourse
We're currently developing a CUDA backend for Awkward, which uses CUDA pointers in place of main memory pointers and converts to and from CuPy, rather than ...
How to use Awkward Arrays in Numba's CUDA target
@numba.cuda.jit decorator is used to create a CUDA kernel. A kernel function is a GPU function that is meant to be called from CPU code. · ak.numba.cuda object ...
Making Awkward Arrays work in the CUDA target - #4 by gmarkall ...
From this post: Would this make it possible for extensions like Awkward Array to run in numba.cuda.jit ed functions? We're currently developing a CUDA ...
Getting started — Awkward Array 2.6.9 documentation
To create new Awkward Arrays with Numba, use ak.ArrayBuilder . Awkward ... See How to use Awkward Arrays in Numba's CUDA target for more. The choice ...
Reusable Numba extension for CUDA target? #359 - GitHub
My goal for Awkward-Numba-CUDA would be to reuse most of the infrastructure for Awkward-Numba (because it works) and replace the first level of ...
Creating an infrastructure for a CUDA backend for Awkward Arrays
layers to the lower layers. ○ Because of the indirection and the symmetry between cpu-kernels and cuda-kernels, a lot of the work could be.
Working with really large arrays in CUDA (how to prevent negative ...
I've based my work off the simple VectorAdd program in the SDK. I flatten my matrix so it is a single array. I've read about threads and blocks ...
Newest 'awkward-array' Questions - Stack Overflow
I am working with awkward arrays and dumping information to pandas dataframe ... Creating a new Awkward array from indices. The problem I am facing is ...
CUDA plug-in for Awkward Array, enables GPU-bound arrays and operations.
CUDA C++ Programming Guide - NVIDIA Docs
These functions are recommended for allocations of 2D or 3D arrays as it makes ... doing the call cannot block forward progress of CUDA work. User objects are ...
python311-awkward-2.6.8-1.1.noarch RPM
* feat: turn on CUDA unit tests for working kernels and add some CUDA ... target * feat: add 'highlevel ... * Awkward Arrays can be converted to and from ...
Creating arrays on the GPU with numba in python using Cuda
... work on the GPU, so I left it on the CPU side). I should ... In Numba, how to copy an array into constant memory when targeting CUDA?
scikit-hep/awkward: Manipulate JSON-like data with ... - GitHub
The expression using Awkward Arrays is more concise, using idioms familiar from NumPy, and it also has NumPy-like performance. For a similar problem 10 million ...
A Taste of GPU Compute [video] - Hacker News
... Cuda using CUB ? > For example, you can 'map' a Futhark 'scan' over a two-dimensional array and it will just work pretty well,. What does ...
Awkward Arrays in AnnData - Read the Docs
Author: Gregor Sturm Awkward Array is a library for working with nested, variable-sized data using NumPy-like idioms. It is considerably faster than working ...
Home | Cloud: Data Science and Python Tools from Anaconda
Watch an introductory course on Anaconda Distribution, conda, and creating your first Python program. ... Awkward Arrays: Working With Nontabular Data at Scale.
Refactoring Awkward Array - CERN Indico
ak.Array in Python operate on CPU pointers cpu-kernels operate on GPU pointers cuda-kernels. C++ classes. Numba models extern "C" interface.
Meta-programming and Auto-tuning in the Search for High ...
blocks, memory access patterns and array ... Permission to make digital or hard copies of all or part of this work for personal or ... a target GPU or CPU. The ...
CUDA Array Interface (Version 2) - Numba documentation
Create a DeviceNDArray from any object that implements the cuda array interface. A view of the underlying GPU buffer is created. No copying of the data is done.
... array needs to be a different type to a 2D array. c : The typeof ... making-awkward-arrays-work-in-the-cuda-target/63; The Interval example: http ...