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D: Workloads winget-pkgs [master ≡ 0 ~1 -0 !] winget download -m . manifests t TechPowerUp GPU-Z 2.55.0 已找到 TechPowerUp GPU-Z [TechPowerUp.GPU-Z] 版本 2. GPU-Z 0 Builds. GPU-Z 0.6.7; GPU-Z 0.6.6; GPU-Z 0.6.5; GPU-Z 0.6.4; GPU-Z 0.6.3; OldVersion.com provides free software downloads for old versions of programs

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This example shows how to use GPU-enabled MATLAB® functions to compute a well-known mathematical construction: the Mandelbrot set. Check your GPU using the gpuDevice function.Define the parameters. The Mandelbrot algorithm iterates over a grid of real and imaginary parts. The following code defines the number of iterations, grid size, and grid limits.maxIterations = 500;gridSize = 1000;xlim = [-0.748766713922161, -0.748766707771757];ylim = [ 0.123640844894862, 0.123640851045266]; You can use the gpuArray function to transfer data to the GPU and create a gpuArray, or you can create an array directly on the GPU. gpuArray provides GPU versions of many functions that you can use to create data arrays, such as linspace. For more information, see Create GPU Arrays Directly. x = gpuArray.linspace(xlim(1),xlim(2),gridSize);y = gpuArray.linspace(ylim(1),ylim(2),gridSize);whos x y Name Size Bytes Class Attributes x 1x1000 8000 gpuArray y 1x1000 8000 gpuArray Many MATLAB functions support gpuArrays. When you supply a gpuArray argument to any GPU-enabled function, the function runs automatically on the GPU. For more information, see Run MATLAB Functions on a GPU. Create a complex grid for the algorithm, and create the array count for the results. To create this array directly on the GPU, use the ones function, and specify 'gpuArray'.[xGrid,yGrid] = meshgrid(x,y);z0 = complex(xGrid,yGrid);count = ones(size(z0),'gpuArray');The following code implements the Mandelbrot algorithm using GPU-enabled functions. Because the code uses gpuArrays, the calculations happen on the GPU.z = z0;for n = 0:maxIterations z = z.*z + z0; inside = abs(z) endcount = log(count);When computations are done, plot the results.imagesc(x,y,count)colormap([jet();flipud(jet());0 0 0]);axis off See AlsogpuArray D: Workloads winget-pkgs [master ≡ 0 ~1 -0 !] winget download -m . manifests t TechPowerUp GPU-Z 2.55.0 已找到 TechPowerUp GPU-Z [TechPowerUp.GPU-Z] 版本 2. Pip install taichi # Install Taichi Langti gallery # Launch demo galleryWhat is Taichi Lang?Taichi Lang is an open-source, imperative, parallel programming language for high-performance numerical computation. It is embedded in Python and uses just-in-time (JIT) compiler frameworks, for example LLVM, to offload the compute-intensive Python code to the native GPU or CPU instructions. The language has broad applications spanning real-time physical simulation, numerical computation, augmented reality, artificial intelligence, vision and robotics, visual effects in films and games, general-purpose computing, and much more. ...MoreWhy Taichi Lang?Built around Python: Taichi Lang shares almost the same syntax with Python, allowing you to write algorithms with minimal language barrier. It is also well integrated into the Python ecosystem, including NumPy and PyTorch.Flexibility: Taichi Lang provides a set of generic data containers known as SNode (/ˈsnoʊd/), an effective mechanism for composing hierarchical, multi-dimensional fields. This can cover many use patterns in numerical simulation (e.g. spatially sparse computing).Performance: With the @ti.kernel decorator, Taichi Lang's JIT compiler automatically compiles your Python functions into efficient GPU or CPU machine code for parallel execution.Portability: Write your code once and run it everywhere. Currently, Taichi Lang supports most mainstream GPU APIs, such as CUDA and Vulkan.... and many more features! A cross-platform, Vulkan-based 3D visualizer, differentiable programming, quantized computation (experimental), etc.Getting StartedInstallation PrerequisitesOperating systemsWindowsLinuxmacOSPython: 3.6 ~ 3.10 (64-bit only)Compute backendsx64/ARM CPUsCUDAVulkanOpenGL (4.3+)Apple MetalWebAssembly (experiemental) Use Python's package installer pip to install Taichi Lang:pip install --upgrade taichiWe also provide a nightly package. Note that nightly packages may crash because they are not fully tested. We cannot guarantee their validity, and you are at your own risk trying out our latest, untested features. The nightly packages can be installed from our self-hosted PyPI (Using self-hosted PyPI allows us to provide more frequent releases over a longer period of time)pip install -i taichi-nightlyRun your "Hello, world!"Here is how you can program a 2D fractal in Taichi:# python/taichi/examples/simulation/fractal.pyimport taichi as titi.init(arch=ti.gpu)n = 320pixels = ti.field(dtype=float, shape=(n * 2, n))@ti.funcdef complex_sqr(z): return ti.Vector([z[0]**2 - z[1]**2, z[1] * z[0] * 2])@ti.kerneldef paint(t: float): for i, j in pixels: # Parallelized over all pixels c = ti.Vector([-0.8, ti.cos(t) * 0.2]) z = ti.Vector([i / n - 1, j / n - 0.5]) * 2 iterations = 0 while z.norm() 20 and iterations 50: z = complex_sqr(z) + c iterations += 1 pixels[i, j] = 1 - iterations * 0.02gui = ti.GUI("Julia Set", res=(n * 2, n))for

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This example shows how to use GPU-enabled MATLAB® functions to compute a well-known mathematical construction: the Mandelbrot set. Check your GPU using the gpuDevice function.Define the parameters. The Mandelbrot algorithm iterates over a grid of real and imaginary parts. The following code defines the number of iterations, grid size, and grid limits.maxIterations = 500;gridSize = 1000;xlim = [-0.748766713922161, -0.748766707771757];ylim = [ 0.123640844894862, 0.123640851045266]; You can use the gpuArray function to transfer data to the GPU and create a gpuArray, or you can create an array directly on the GPU. gpuArray provides GPU versions of many functions that you can use to create data arrays, such as linspace. For more information, see Create GPU Arrays Directly. x = gpuArray.linspace(xlim(1),xlim(2),gridSize);y = gpuArray.linspace(ylim(1),ylim(2),gridSize);whos x y Name Size Bytes Class Attributes x 1x1000 8000 gpuArray y 1x1000 8000 gpuArray Many MATLAB functions support gpuArrays. When you supply a gpuArray argument to any GPU-enabled function, the function runs automatically on the GPU. For more information, see Run MATLAB Functions on a GPU. Create a complex grid for the algorithm, and create the array count for the results. To create this array directly on the GPU, use the ones function, and specify 'gpuArray'.[xGrid,yGrid] = meshgrid(x,y);z0 = complex(xGrid,yGrid);count = ones(size(z0),'gpuArray');The following code implements the Mandelbrot algorithm using GPU-enabled functions. Because the code uses gpuArrays, the calculations happen on the GPU.z = z0;for n = 0:maxIterations z = z.*z + z0; inside = abs(z) endcount = log(count);When computations are done, plot the results.imagesc(x,y,count)colormap([jet();flipud(jet());0 0 0]);axis off See AlsogpuArray

2025-04-20
User4028

Pip install taichi # Install Taichi Langti gallery # Launch demo galleryWhat is Taichi Lang?Taichi Lang is an open-source, imperative, parallel programming language for high-performance numerical computation. It is embedded in Python and uses just-in-time (JIT) compiler frameworks, for example LLVM, to offload the compute-intensive Python code to the native GPU or CPU instructions. The language has broad applications spanning real-time physical simulation, numerical computation, augmented reality, artificial intelligence, vision and robotics, visual effects in films and games, general-purpose computing, and much more. ...MoreWhy Taichi Lang?Built around Python: Taichi Lang shares almost the same syntax with Python, allowing you to write algorithms with minimal language barrier. It is also well integrated into the Python ecosystem, including NumPy and PyTorch.Flexibility: Taichi Lang provides a set of generic data containers known as SNode (/ˈsnoʊd/), an effective mechanism for composing hierarchical, multi-dimensional fields. This can cover many use patterns in numerical simulation (e.g. spatially sparse computing).Performance: With the @ti.kernel decorator, Taichi Lang's JIT compiler automatically compiles your Python functions into efficient GPU or CPU machine code for parallel execution.Portability: Write your code once and run it everywhere. Currently, Taichi Lang supports most mainstream GPU APIs, such as CUDA and Vulkan.... and many more features! A cross-platform, Vulkan-based 3D visualizer, differentiable programming, quantized computation (experimental), etc.Getting StartedInstallation PrerequisitesOperating systemsWindowsLinuxmacOSPython: 3.6 ~ 3.10 (64-bit only)Compute backendsx64/ARM CPUsCUDAVulkanOpenGL (4.3+)Apple MetalWebAssembly (experiemental) Use Python's package installer pip to install Taichi Lang:pip install --upgrade taichiWe also provide a nightly package. Note that nightly packages may crash because they are not fully tested. We cannot guarantee their validity, and you are at your own risk trying out our latest, untested features. The nightly packages can be installed from our self-hosted PyPI (Using self-hosted PyPI allows us to provide more frequent releases over a longer period of time)pip install -i taichi-nightlyRun your "Hello, world!"Here is how you can program a 2D fractal in Taichi:# python/taichi/examples/simulation/fractal.pyimport taichi as titi.init(arch=ti.gpu)n = 320pixels = ti.field(dtype=float, shape=(n * 2, n))@ti.funcdef complex_sqr(z): return ti.Vector([z[0]**2 - z[1]**2, z[1] * z[0] * 2])@ti.kerneldef paint(t: float): for i, j in pixels: # Parallelized over all pixels c = ti.Vector([-0.8, ti.cos(t) * 0.2]) z = ti.Vector([i / n - 1, j / n - 0.5]) * 2 iterations = 0 while z.norm() 20 and iterations 50: z = complex_sqr(z) + c iterations += 1 pixels[i, j] = 1 - iterations * 0.02gui = ti.GUI("Julia Set", res=(n * 2, n))for

2025-04-21
User6512

OldVersionWelcome Guest, Login | Register WindowsMacLinuxGamesAndroidEnglishEnglishالعربيةDeutschEspañolFrançais日本のРусскийTürk中国的Upload SoftwareForumBlogRegisterLogin Stats: 30,053 versions of 1,966 programsPick a software title...to downgrade to the version you love!Windows » Utilities » GPU-Z » GPU-Z 0.5.9Get Updates on GPU-ZGPU-Z 0.5.97,496 DownloadsGPU-Z 0.5.9 0out of5based on0 ratings.File Size: 0.97 MBDate Released: Feb 13, 2012Works on: Windows 2000 / Windows 7 / Windows 7 x64 / Windows 8 / Windows 8 x64 / Windows Vista / Windows Vista x64 / Windows XP / Windows XP x64Doesn't Work on: Windows 3.1 / Windows ME / Windows 98 / Windows 95 License: Add info Official Website: TechpowerupTotal Downloads: 7,496Contributed by:liz07641william Rating:0 of 5Rate It!(0 votes) Tested: Free from spyware, adware and virusesGPU-Z 0.5.9 Change Log* Added support for AMD Radeon HD 7750 and HD 7770 * Added voltage monitoring for HD 7950 and HD 7970* Fixed memory size readings for ATI cards with large VRAM* Improved formula for NVIDIA ASIC Quality reading* Added explanation text to ASIC quality window* Fixed bug that caused updater to show up even though no update available, lagging GPU-Z.* When multi-GPU setup detected, PCIe load test will recommend full screen* Added board ID to BIOS version readout* Added option to show sensor reading in GPU-Z title (click the arrow next to the sensor name)* Refresh sensors in background now defaults to enabled* Fixed release date for HD 7950* Added PCI vendor Packard Bell* Fix for ATI hardware access breaking on Catalyst 12.1* Added fan RPM monitoring support on some ATI cards* Added GF108 based GT 520, GTX 555 (non-mobile), GeForce 305M, 610M GPU-Z 0.5.9 Screenshotsupload screenshotupload screenshotupload screenshotupload screenshotupload screenshotupload screenshotupload screenshotGPU-Z 0 BuildsGPU-Z 0.8.5GPU-Z 0.6.7GPU-Z 0.6.6GPU-Z 0.6.5GPU-Z 0.6.4GPU-Z 0.6.3GPU-Z 0.6.2GPU-Z 0.6.1GPU-Z 0.6.0GPU-Z 0.5.8GPU-Z 0.5.7GPU-Z 0.5.6GPU-Z 0.5.5GPU-Z 0.5.4GPU-Z 0.5.3GPU-Z 0.5.2GPU-Z 0.5.1GPU-Z 0.5.0GPU-Z 0.4.9GPU-Z 0.4.8GPU-Z 0.4.7GPU-Z 0.4.6GPU-Z 0.4.5GPU-Z 0.4.4GPU-Z 0.4.3GPU-Z 0.4.2GPU-Z 0.4.0GPU-Z 0.3.9GPU-Z 0.3.8GPU-Z 0.3.7GPU-Z 0.3.6GPU-Z 0.3.5GPU-Z 0.3.4GPU-Z 0.3.3GPU-Z 0.3.2GPU-Z 0.3.1GPU-Z 0.3.0GPU-Z 0.2.9GPU-Z 0.2.8GPU-Z 0.2.7GPU-Z 0.2.6GPU-Z 0.2.5GPU-Z 0.2.4GPU-Z 0.2.3GPU-Z 0.2.2GPU-Z 0.2.1GPU-Z 0.0.9GPU-Z 0.0.7GPU-Z Commentsblog comments powered by Disqus6155 Top 5 Contributorssofiane41,005 PointsPKO1716,000 Pointssafarisilver13,345 Pointsalpha110,985 PointsMatrixisme9,755 PointsSee More Users »Upload SoftwareGet points for uploading software and use them to redeem prizes!Site LinksAbout UsContact UsHelp / FAQCategoryWindowsMacLinuxGamesAndroidFollow OldVersion.com Old VersionOldVersion.com provides free software downloads for old versions of programs, drivers and games.So why not downgrade to the version you love?.... because newer is not always better!©2000-2025 OldVersion.com.Privacy PolicyTOSUpload SoftwareBlogDesign by Jenox OldVersion.com Points SystemWhen you upload software to oldversion.com you get rewarded by points. For every field that is

2025-04-24
User2103

OldVersionWelcome Guest, Login | Register WindowsMacLinuxGamesAndroidEnglishEnglishالعربيةDeutschEspañolFrançais日本のРусскийTürk中国的Upload SoftwareForumBlogRegisterLogin Stats: 30,053 versions of 1,966 programsPick a software title...to downgrade to the version you love!Windows » Utilities » GPU-Z » GPU-Z 0.5.0Get Updates on GPU-ZGPU-Z 0.5.02,811 DownloadsGPU-Z 0.5.0 0out of5based on0 ratings.File Size: 883.84 KBDate Released: Dec 27, 2010Works on: Windows 2000 / Windows 7 / Windows 7 x64 / Windows 8 / Windows 8 x64 / Windows Vista / Windows Vista x64 / Windows XP / Windows XP x64Doesn't Work on: Windows 3.1 / Windows ME / Windows 98 / Windows 95 License: Add info Official Website: TechpowerupTotal Downloads: 2,811Contributed by:liz07641william Rating:0 of 5Rate It!(0 votes) Tested: Free from spyware, adware and virusesGPU-Z 0.5.0 Change Log- Added full support for Radeon HD 6950 and HD 6970- Fixed TMU/Texture Fillrate rounding error on NVIDIA cards- Improved voltage monitoring support for GTX 570- Workaround for ATI OpenCL driver crashing GPU-Z on systems with NVIDIA cards- Fixed crash when driver version could not be read- Fixed crash when splash screen interrupted by message box GPU-Z 0.5.0 Screenshotsupload screenshotupload screenshotupload screenshotupload screenshotupload screenshotupload screenshotupload screenshotGPU-Z 0 BuildsGPU-Z 0.8.5GPU-Z 0.6.7GPU-Z 0.6.6GPU-Z 0.6.5GPU-Z 0.6.4GPU-Z 0.6.3GPU-Z 0.6.2GPU-Z 0.6.1GPU-Z 0.6.0GPU-Z 0.5.9GPU-Z 0.5.8GPU-Z 0.5.7GPU-Z 0.5.6GPU-Z 0.5.5GPU-Z 0.5.4GPU-Z 0.5.3GPU-Z 0.5.2GPU-Z 0.5.1GPU-Z 0.4.9GPU-Z 0.4.8GPU-Z 0.4.7GPU-Z 0.4.6GPU-Z 0.4.5GPU-Z 0.4.4GPU-Z 0.4.3GPU-Z 0.4.2GPU-Z 0.4.0GPU-Z 0.3.9GPU-Z 0.3.8GPU-Z 0.3.7GPU-Z 0.3.6GPU-Z 0.3.5GPU-Z 0.3.4GPU-Z 0.3.3GPU-Z 0.3.2GPU-Z 0.3.1GPU-Z 0.3.0GPU-Z 0.2.9GPU-Z 0.2.8GPU-Z 0.2.7GPU-Z 0.2.6GPU-Z 0.2.5GPU-Z 0.2.4GPU-Z 0.2.3GPU-Z 0.2.2GPU-Z 0.2.1GPU-Z 0.0.9GPU-Z 0.0.7GPU-Z Commentsblog comments powered by Disqus6146 Top 5 Contributorssofiane41,005 PointsPKO1716,000 Pointssafarisilver13,345 Pointsalpha110,985 PointsMatrixisme9,755 PointsSee More Users »Upload SoftwareGet points for uploading software and use them to redeem prizes!Site LinksAbout UsContact UsHelp / FAQCategoryWindowsMacLinuxGamesAndroidFollow OldVersion.com Old VersionOldVersion.com provides free software downloads for old versions of programs, drivers and games.So why not downgrade to the version you love?.... because newer is not always better!©2000-2025 OldVersion.com.Privacy PolicyTOSUpload SoftwareBlogDesign by Jenox OldVersion.com Points SystemWhen you upload software to oldversion.com you get rewarded by points. For every field that is filled out correctly, points will berewarded, some fields are optional but the more you provide the more you will get rewarded!So why not upload a peice software today, share with others and get rewarded! click here to upload software>>

2025-03-29
User2095

IPs took 0.01s. Mode: Async [#: 1, OK: 0, NX: 1, DR: 0, SF: 0, TR: 1, CN: 0]Initiating SYN Stealth Scan at 22:50Scanning 10.10.216.174 [2 ports]Discovered open port 80/tcp on 10.10.216.174Discovered open port 6379/tcp on 10.10.216.174Completed SYN Stealth Scan at 22:50, 0.28s elapsed (2 total ports)Initiating Service scan at 22:50Scanning 2 services on 10.10.216.174Completed Service scan at 22:51, 6.52s elapsed (2 services on 1 host)Initiating OS detection (try #1) against 10.10.216.174Retrying OS detection (try #2) against 10.10.216.174Initiating Traceroute at 22:51Completed Traceroute at 22:51, 3.03s elapsedInitiating Parallel DNS resolution of 2 hosts. at 22:51Completed Parallel DNS resolution of 2 hosts. at 22:51, 2.10s elapsedDNS resolution of 2 IPs took 2.10s. Mode: Async [#: 1, OK: 0, NX: 2, DR: 0, SF: 0, TR: 2, CN: 0]NSE: Script scanning 10.10.216.174.NSE: Starting runlevel 1 (of 3) scan.Initiating NSE at 22:51Completed NSE at 22:51, 5.04s elapsedNSE: Starting runlevel 2 (of 3) scan.Initiating NSE at 22:51Completed NSE at 22:51, 1.07s elapsedNSE: Starting runlevel 3 (of 3) scan.Initiating NSE at 22:51Completed NSE at 22:51, 0.00s elapsedNmap scan report for 10.10.216.174Host is up, received reset ttl 61 (0.25s latency).Scanned at 2021-11-30 22:50:58 UTC for 25sPORT STATE SERVICE REASON VERSION80/tcp open http syn-ack ttl 61 Apache httpd 2.4.18 ((Ubuntu))| http-methods: |_ Supported Methods: GET HEAD POST OPTIONS|_http-server-header: Apache/2.4.18 (Ubuntu)|_http-title: Apache2 Ubuntu Default Page: It works6379/tcp open redis syn-ack ttl 61 Redis key-value store 6.0.7Warning: OSScan results may be unreliable because we could not find at least 1 open and 1 closed portOS fingerprint not ideal because: Missing a closed TCP port so results incompleteAggressive OS guesses: Linux 3.10 - 3.13 (95%), Linux 5.4 (95%), ASUS RT-N56U WAP (Linux 3.4) (95%), Linux 3.16 (95%), Linux 3.1 (93%), Linux 3.2 (93%), AXIS 210A or 211 Network Camera (Linux 2.6.17) (92%), Android 5.1 (92%), Linux 3.13 (92%), Linux 3.2 - 3.16 (92%)No exact OS matches for host (test conditions non-ideal).TCP/IP fingerprint:SCAN(V=7.92%E=4%D=11/30%OT=80%CT=%CU=37781%PV=Y%DS=4%DC=T%G=N%TM=61A6AAEB%P=x86_64-pc-linux-gnu)SEQ(SP=101%GCD=1%ISR=101%TI=Z%CI=I%II=I%TS=8)OPS(O1=M506ST11NW7%O2=M506ST11NW7%O3=M506NNT11NW7%O4=M506ST11NW7%O5=M506ST11NW7%O6=M506ST11)WIN(W1=68DF%W2=68DF%W3=68DF%W4=68DF%W5=68DF%W6=68DF)ECN(R=Y%DF=Y%T=40%W=6903%O=M506NNSNW7%CC=Y%Q=)T1(R=Y%DF=Y%T=40%S=O%A=S+%F=AS%RD=0%Q=)T2(R=N)T3(R=N)T4(R=Y%DF=Y%T=40%W=0%S=A%A=Z%F=R%O=%RD=0%Q=)T5(R=Y%DF=Y%T=40%W=0%S=Z%A=S+%F=AR%O=%RD=0%Q=)T6(R=Y%DF=Y%T=40%W=0%S=A%A=Z%F=R%O=%RD=0%Q=)T7(R=Y%DF=Y%T=40%W=0%S=Z%A=S+%F=AR%O=%RD=0%Q=)U1(R=Y%DF=N%T=40%IPL=164%UN=0%RIPL=G%RID=G%RIPCK=G%RUCK=G%RUD=G)IE(R=Y%DFI=N%T=40%CD=S)Uptime guess: 0.021 days (since Tue Nov 30 22:21:07 2021)Network Distance: 4 hopsTCP Sequence Prediction: Difficulty=254 (Good luck!)IP ID Sequence Generation: All zerosTRACEROUTE (using port 80/tcp)HOP RTT ADDRESS1 113.35 ms 10.13.0.12 ... 34 253.85 ms 10.10.216.174NSE: Script Post-scanning.NSE: Starting runlevel

2025-04-05

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