MihailCosmin

#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

kieber-emmons

//
//  ParallelRadixSort.metal
//
//  Created by Matthew Kieber-Emmons on 08/29/22.
//  Copyright © 2022 Matthew Kieber-Emmons. All rights reserved.
//  This work is for educational purposes only and cannot be used without consent.
//

#include <metal_stdlib>
using namespace metal;

victor-shepardson

from contextlib import contextmanager
import numpy as np
import torch
from torch import Tensor, ByteTensor
import torch.nn.functional as F
from torch.autograd import Variable
import pycuda.driver
from pycuda.gl import graphics_map_flags
from glumpy import app, gloo, gl

ilkinulas

#!/usr/bin/python
#
# Usage:
# adb logcat -v time | python logcat_unity.py

import sys
import re

IGNORED_LINES=["(Filename:"]
LOG_TAG="Unity"

Mischa-Alff

	std::chrono::high_resolution_clock::time_point start, end, timetoprint;
	timetoprint = start = end = std::chrono::high_resolution_clock::now();

	long long frame_count=0;
	long double frametime_total=0.f;

	while(!glfwWindowShouldClose(win)) {
		end = std::chrono::high_resolution_clock::now();
		long int frametime_us = (std::chrono::duration_cast<std::chrono::microseconds>(end-start).count());
		float frametime_s = ft/1e6f;