juliagpu.org valuation and analysis
Robots.txt Information
| Robot | Path | Permission |
| GoogleBot | / | ✔ |
| BingBot | / | ✔ |
| BaiduSpider | / | ✔ |
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Sitemap: https://juliagpu.org/sitemap.xml User-agent: * | ||
Meta Tags
| Title | JuliaGPU |
| Description | Home Blog Learn CUDA ROCm oneAPI Metal Other JuliaGPU High-performance GPU programming in a high-level language. JuliaGPU is a Github organization created |
| Keywords | N/A |
Server Information
| WebSite | |
| Host IP | 185.199.108.153 |
| Location | - |
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juliagpu.org Valuation
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US$4,590,993
Last updated: 2023-05-07 02:51:28
juliagpu.org has Semrush global rank of 2,305,450. juliagpu.org has an estimated worth of US$ 4,590,993, based on its estimated Ads revenue. juliagpu.org receives approximately 529,730 unique visitors each day. Its web server is located in -, with IP address 185.199.108.153. According to SiteAdvisor, juliagpu.org is safe to visit. |
Traffic & Worth Estimates
| Purchase/Sale Value | US$4,590,993 |
| Daily Ads Revenue | US$4,238 |
| Monthly Ads Revenue | US$127,136 |
| Yearly Ads Revenue | US$1,525,623 |
| Daily Unique Visitors | 35,316 |
| Note: All traffic and earnings values are estimates. | |
DNS Records
| Host | Type | TTL | Data |
| juliagpu.org. | A | 1798 | IP: 185.199.108.153 |
| juliagpu.org. | A | 1798 | IP: 185.199.111.153 |
| juliagpu.org. | A | 1798 | IP: 185.199.109.153 |
| juliagpu.org. | A | 1798 | IP: 185.199.110.153 |
| juliagpu.org. | NS | 1800 | NS Record: dns1.registrar-servers.com. |
| juliagpu.org. | NS | 1800 | NS Record: dns2.registrar-servers.com. |
HtmlToTextCheckTime:2023-05-07 02:51:28
| Home Blog Learn CUDA ROCm oneAPI Metal Other JuliaGPU High-performance GPU programming in a high-level language. JuliaGPU is a Github organization created to unify the many packages for programming GPUs in Julia. With its high-level syntax and flexible compiler, Julia is well positioned to productively program hardware accelerators like GPUs without sacrificing performance. Several GPU platforms are supported, but there are large differences in features and stability. On this website, you can find a brief introduction of the supported platforms and links to the respective home pages. Supported platforms The best supported GPU platform in Julia is NVIDIA CUDA , with mature and full-featured packages for both low-level kernel programming as well as working with high-level operations on arrays. All versions of Julia are supported, on Linux and Windows, and the functionality is actively used by a variety of applications and libraries. Similar, but much newer capabilities exist for Intel |
HTTP Headers
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juliagpu.org Whois Information
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