Online or onsite, instructor-led live OpenCL training courses demonstrate through interactive hands-on practice the fundamentals and advanced topics of OpenCL.
OpenCL training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live OpenCL training can be carried out locally on customer premises in Nepal or in NobleProg corporate training centers in Nepal.
NobleProg -- Your Local Training Provider
Nepal, Kathmandu - Classroom
near Soaltee, Tahachal Marg, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Tahachal Marg with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Nepal, Thamel, KTM - Classroom
near Radisson , Ward 2, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Thamel, with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
OpenCL is a standard for programming heterogeneous systems that integrate CPUs, GPUs, and other processing units. It provides a framework to define the platform in terms of a host (such as a CPU) and one or more compute devices (such as a GPU), along with a C-based programming language for writing code for these devices. By leveraging OpenCL, developers can create task-based and data-parallel applications that efficiently utilize the diverse processing capabilities within a single system.
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