30 skills found
dehydratedpotato / SocpowerbudSudoless alternative to powermetrics for Apple Silicon; realtime CPU & GPU frequency, volts, usage, etc.
squirrelbob / PWMHelperA command line utility for changing display PWM frequency (Intel embedded GPU's / Winx64 only)
cyrusasfa / Jtfs Gpucode for the paper "Differentiable Time-Frequency Scattering on GPU" 🌊
vmohl / JaxMARL HFTGPU-Accelerated Multi-Agent Reinforcement Learning for High-Frequency Trading
HAWAIILAB / Cuda FluxCUDA Flux is a profiler for GPU applications which reports the basic block executions frequencies of compute kernels
colin-guyon / Rpi Audio LevelsPython binding allowing to retrieve audio levels by frequency bands given audio samples (power spectrum in fact), on a raspberry pi, using GPU FFT
consolesunleashed / Sony Playstation Multi Output Frequency OscillatorSony PlayStation Multi Output Frequency Oscillator (MOFO) is a dual clock mod that provides a switchable PAL/NTSC GPU clock, a switchable PAL/NTSC encoder subcarrier clock, and a fixed PAL60 subcarrier clock for those with single format CRT TVs.
cltwski / OrderBookSimulatorWithOpenCLThis project is to simulate the effects of high frequency trading on a stock. This is the code for the order book as well as 'traders' which will place orders on the market. The design will be as parallel as possible using OpenCL and a GPU to parallelise processing.
dehydratedpotato / FrequencyStatsFor Apple Silicon 🍎 Daemonless, kextless CPU and GPU frequency stats in your menubar!
RaphaelJ / LibhumLibhum is a Python GPU-accelerated library to extract and compare Electricity Frequency Signals (ENF)
koiuo / Intelpwm UdevScript and udev rule to set backlight PWM frequency on laptops with Intel i915 GPU
Hossamomar / EM070 New FPGA Family For CNN Architectures High Speed Soft Neuron DesignWho doesn’t dream of a new FPGA family that can provide embedded hard neurons in its silicon architecture fabric instead of the conventional DSP and multiplier blocks? The optimized hard neuron design will allow all the software and hardware designers to create or test different deep learning network architectures, especially the convolutional neural networks (CNN), more easily and faster in comparing to any previous FPGA family in the market nowadays. The revolutionary idea about this project is to open the gate of creativity for a precise-tailored new generation of FPGA families that can solve the problems of wasting logic resources and/or unneeded buses width as in the conventional DSP blocks nowadays. The project focusing on the anchor point of the any deep learning architecture, which is to design an optimized high-speed neuron block which should replace the conventional DSP blocks to avoid the drawbacks that designers face while trying to fit the CNN architecture design to it. The design of the proposed neuron also takes the parallelism operation concept as it’s primary keystone, beside the minimization of logic elements usage to construct the proposed neuron cell. The targeted neuron design resource usage is not to exceeds 500 ALM and the expected maximum operating frequency of 834.03 MHz for each neuron. In this project, ultra-fast, adaptive, and parallel modules are designed as soft blocks using VHDL code such as parallel Multipliers-Accumulators (MACs), RELU activation function that will contribute to open a new horizon for all the FPGA designers to build their own Convolutional Neural Networks (CNN). We couldn’t stop imagining INTEL ALTERA to lead the market by converting the proposed designed CNN block and to be a part of their new FPGA architecture fabrics in a separated new Logic Family so soon. The users of such proposed CNN blocks will be amazed from the high-speed operation per seconds that it can provide to them while they are trying to design their own CNN architectures. For instance, and according to the first coding trial, the initial speed of just one MAC unit can reach 3.5 Giga Operations per Second (GOPS) and has the ability to multiply up to 4 different inputs beside a common weight value, which will lead to a revolution in the FPGA capabilities for adopting the era of deep learning algorithms especially if we take in our consideration that also the blocks can work in parallel mode which can lead to increasing the data throughput of the proposed project to about 16 Tera Operations per Second (TOPS). Finally, we believe that this proposed CNN block for FPGA is just the first step that will leave no areas for competitions with the conventional CPUs and GPUs due to the massive speed that it can provide and its flexible scalability that it can be achieved from the parallelism concept of operation of such FPGA-based CNN blocks.
andrinr / Frequency Gpu ParticlesAudio frequency sensitive music visualizer driving a GPU accelerated particle system in TouchDesigner.
giuliojiang / AMD Linux Power ManagementSome simple scripts to set power levels and monitor GPU frequencies under linux with support to Radeon dpm
ezozu / SignalForgeAlgorithmic Forex Binary option pricing & high-frequency trading simulation via GPU-accelerated stochastic volatility model calibration.
srvm / Gpu FreqlibA lightweight C++ library for varying core and memory clock frequencies on NVIDIA GPUs
GAME-OVER-op / Mora Perf DaemonPerf/thermal daemon for LineageOS on Nubia Red Magic 9 Pro (tiro): CPU/GPU caps + fan + notifications. wiki.itsvixano.me Adaptive CPU/GPU frequency & fan controller daemon for LineageOS (tiro / Red Magic 9 Pro). wiki.itsvixano.me Root daemon for LineageOS tiro: cpufreq + KGSL devfreq + thermal scaling + fan.
galeselee / DVFS PaperListEnergy is a very noticable topic. Dynaimc Voltage and Frequency Scaling is a technique for CPU and GPU power consumption. Here is a paperlist of DVFS and power consumption.
PaCER-BLINK-Project / ImagerHigh-Time Resolution GPU Imager for FRB searches at low radio frequencies
JackDamato / Micro Regime PropogationRegime-aware, low-latency high-frequency trading (HFT) risk modeling system implementing microstructure-driven regime detection, microscopic regime propagation tracking, and GPU-accelerated regime-aware monte carlo simulation..
