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Python code able to convert / compress image to PI (3.14, π) Indexes
...Features high-performance Numba-accelerated search and a signature 'film-grain' aesthetic upon reconstruction.
ZIP also include 16 MB file with 16,7 mil numbers of PI
Benchmark(Single-Thread):
Hardware & Environment
Apple Silicon: Apple M2 (Mac mini/MacBook)
x86_64 Platform: Intel Core Ultra 5 225F (Arrow Lake, 10 Cores)
OS 1: Fedora 43 (GNOME)
OS 2: Windows 11 Pro (23H2/24H2)
Software: Python 3.14.3 + Numba JIT (latest)
Results (Lower is better)
Platform / OS CPU Time (Seconds)
macOS (Native) Apple M2 52.151311 s (in default setup)
Fedora Linux Intel Core Ultra 5 225F 58.536457 s (in default Power Management: Balanced)
Windows 11 Intel Core Ultra 5 225F 59.681427 s (important! ...
MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project. Models can be exported and run in several backends, and more will be compatible. All kinds of modules in the SDK can be extended, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on. Install and build your target backend. ONNX Runtime is a cross-platform inference and training accelerator compatible with many popular ML/DNN...
S2CBench v.2.0 provides 18 programs written in synthesizable SystemC language. Each benchmark is designed for specific domains such as multimedia, digital signal processing, security, image processing, etc. The programs are provided with the objective to enable researchers analyze their innovative algorithms and techniques and help users compare the quality of results of state of the art commercial High Level Synthesis tools available in industry.
You can log in to our Youtube channel to...
PolyBench/C 4.2
Copyright (c) 2011-2016 the Ohio State University.
Contact:
Louis-Noel Pouchet <pouchet@cse.ohio-state.edu>
Tomofumi Yuki <tomofumi.yuki@inria.fr>
PolyBench is a benchmark suite of 30 numerical computations with
static control flow, extracted from operations in various application
domains (linear algebra computations, image processing, physics
simulation, dynamic programming, statistics, etc.). PolyBench features
include:
- A single file, tunable at...