GPU Programming with Java
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The document provides an overview of GPU programming using Java, focusing on the distinction between GPU and CPU architectures, stream processing, and general-purpose GPU (GPGPU) techniques. It discusses programming interfaces such as CUDA and OpenCL, including prerequisites for hardware and software needed to implement GPU programming with Java. Additionally, it highlights challenges related to GPU programming and references resources for demo programs.
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Rounds: Warm-up, Main Quiz, Visual Round, Connects (optional bonus)
Design: Simple, clear slides with answer explanations included
Tools Needed: Just a projector or screen – ready to use!
🧠 Who Is It For?
College quiz clubs
School or medical students
Teachers or faculty for classroom engagement
Event organizers needing quiz content
Quizzers preparing for competitions
Freelancers building quiz portfolios
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Ready-made, high-quality content
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🔍 SEO Tags:
quiz, general knowledge quiz, trivia quiz, SlideShare quiz, college quiz, fun quiz, medical college quiz, India quiz, pop culture quiz, visual quiz, MCQ quiz, connect quiz, science quiz, current affairs quiz, SMC Quiz Club, Silchar Medical College
📣 Reuse & Credit
You’re free to use or adapt this quiz for your own events or sessions with credit to:
SMC Quiz Club – Silchar Medical College & Hospital
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COVID-19 (if included in the current curriculum)
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Acute Respiratory Infections (ARIs)
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6/17/25: “My now Grads, You’re doing well. I applaud your efforts to continue. We all are shifting to new paradigm realities. Its rough, there’s good and bad days/weeks. However, Reiki with Yoga assistance, does work.”
6/18/25: "For those planning the Training Program Do Welcome. Happy Summer 2k25. You are not ignored and much appreciated. Our updates are ongoing and weekly since Spring. I Hope you Enjoy the Practitioner Grad Level. There's more to come. We will also be wrapping up Level One. So I can work on Levels 2 topics. Please see documents for any news updates. Also visit our websites. Every decade I release a Campus eMap. I will work on that for summer 25. We have 2 old libraries online thats open. https://ldmchapels.weebly.com "
A Safe House,
sanctuary of virtual relaxation and rejuvenation.
By ©YogiGoddess of ©LDMMIA, ©LDMYoga.
♥Teacher Dept: (Rev Dr) Leslie Moore, ND Yoga (Aide/LPN Trained), Metaphysician,
Using Reiki Practitioner/Master Level Trained.
#yogigoddess @YogiGoddessVEVO
♥LDMMIA & Depts: are fusing the fan clubs so do welcome.
We are timeless and a safe haven / Cyber Space. That’s the design of our Fan/Reader/Loyal Blog.♥
LDM HQ Est. in Ann Arbor, MI 2005.
- Moved to Detroit in 2006,
- Expanded online 2007-2024+
- Became a Beatz Studio in 2009 as Yogi Goddess. After our Apple Podcast
- Relocated to Mount Pleasant MI for College The Pandemic Ending.
- Endemic - Present; Moved back to assist Family in Metro Detroit.
Practitioner Student. Level/Session 2
* The Review & Topics:
* All virtual, adult, education students must be over 18 years to attend LDMMIA eClasses and vStudio Thx.
* Please refer to our Free Workshops anytime for review/notes.
*Tech: Products Sold Separately are for Uploading Size Reasons, THX.
MIA TECH: Videos under Copyright including our Music Video for Yogi Goddess, Can only be picked up vs shop downloaded. We are under vydia.com
Pickup will be our Youtube, for unlisted Playlist.
We do have another Vod for Session 2, Level 1.
After that we move on to Session 3.
Levels 1-3 should be done by August to Sept.
LDM Recording, Yogi Goddess Bio (ReverbNation)
Organization functions as a Studio 1st. We are a Media Co, Private Sector, and Global Listed.
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Our Biz income are Media monetization within The Entertainment genre. This includes the category of Yoga, Reiki, ASMR, and Music Beatz. Any other tips, donations, B2C sales/Student Tuition are extra. The Biz gifts are appreciated. (We have been given a few $K for random emergencies.)
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After about a Year or 10, I retire older content. Literally up to under 10 yrs. We will be 19 yrs old this Aug for Love and Divinity in Motion (LDM). How old are we? So funny. Our oldest profile is X, formerly Twitter. From our old Apple Podcast Years.
https://ldm-mia.creator-spring.com
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REIKI- YOGA “ORIENTATION”
It helps to understand the text behind anything. This improves our performance and confidence.
Your training will be mixed media. Includes Rehab Intro and Meditation vods, all sold separately.
Editing our Vods & New Shop. Retail under $30 per item.
*Store Fees will apply. *Digital Should be low cost.
Thank you for attending our free workshops. Those can be used with any Reiki Yoga training package. Traditional Reiki does host rules and ethics. Its silent and within the JP Culture/Area/Training/Word of Mouth. It allows remote healing but there’s limits for practitioners and masters. We are not allowed to share certain secrets/tools. Some content is designed only for “Masters”...
Next Upload will be our Video package for Session 1. Prices will be affordable as possible. Thx for becoming a "Practitioner Level" Student.
Updates so far, are every week for spring. Summer should be a similar schedule. Thx for visitings, attending, and following LDMMIA.
Social Media:
https://x.com/OnlineDrLeZ
and
https://www.instagram.com/chelleofsl/
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- 1. GPU programming with Java Pramuditha Aravinda. Kelum Senanayake.
- 2. Outline What is GPU. CPU vs. GPU Architecture. What is Stream processing. General Purpose GPU. CUDA. OpenCL Demo
- 3. What is GPU Graphics processing unit. Specialized microprocessor. Very efficient at manipulating computer graphics. Offloads and accelerates graphics rendering from the CPU. Dedicated to calculating floating point operations. Highly parallel structure. More effective for a range of complex algorithms. GPU can be present on, Video card. Motherboard CPU die (certain Core Intel CPUs)
- 4. CPU vs. GPU Architecture The GPU devotes more transistors to data processing. GPU : A Highly Parallel, Multithreaded, Manycore Processor
- 5. CPU vs. GPU contd…
- 6. What is Stream processing Is a computer programming paradigm, related to SIMD. Allows applications to easily exploit a limited form of parallel processing. Terminology Stream :- A set of data Kernel functions :- A series of operations Uniform streaming :- One kernel function is applied to all elements in the stream. Stream processing is driven by a data-centric model Image, video and digital signal processing Less efficient in general purpose processing with more randomized data access (such as databases)
- 7. General Purpose GPU The GPU is, by design, a stream processing system. GPGPU is a programming methodology. Modifying algorithms to run on existing GPU hardware Capable of performing simple operations on a stream of input data with amazing speed. Allows software developers to use stream processing on non-graphics data.
- 8. How hard is it? The languages are not very easy to use. Most GPU cards still operate on assembly language. The process flow is unique. Typically simple branching statement, such as if statements, offer such a performance penalty that it is often faster to process both conditions. The unique Stream-In-Stream-Out design is not typically used in CPU programs. The need to work with geometric primitives in order to push mathematical inputs to the system. Rapidly growing community.
- 9. Programming GPUs! Plenty of interfaces Compute Unified Device Architecture (CUDA) OpenCL OpenGL Shader Language (GLSL) DirectX/DirectCompute/HLSL ATI Stream
- 10. CUDA Compute Unified Device Architecture. Parallel computing architecture developed by NVIDIA. Programmers use C for CUDA. C with NVIDIA extensions and certain restrictions. Third party wrappers are also available for Python, Perl, Fortran, Java, Ruby, Lua, MATLAB and IDL. Currently used in, SETI@Home Distributed Calculations, such as predicting the native conformation of proteins Accelerated inter conversion of video file formats Physical simulations, in particular in fluid dynamics
- 12. OpenCL Open Computing Language. Managed by the non-profit technology consortium Khronos Group Framework for writing programs that execute across heterogeneous platforms consisting of CPUs, GPUs, and other processors. Includes a language (based on C99) for writing kernels. APIs to define and then control the platforms. Supports both AMD/ATI and NVIDIA.
- 13. Programming GPU with Java and OpenCL We need to program using a GPGPU driver However most GPGPU drivers are available as a native dll only. We need another layer to interface to Java runtime. Called Java Binding
- 14. Java Binding UserProgram.class Jocl.jar Jocl.dll OpenCL.dll
- 15. Prerequisites - Hardware OpenCL capable graphic card. nVidea – All CUDA enabled GPU have OpenCL support. GeForce 8xxx or higher with 256MB minimum. http://www.nvidia.com/object/cuda_gpus.html AMD ATI Radeon™ HD 5400 or higher, AMD Radeon™ HD 6800 series or higher. AMD X86 CPU w/ SSE 2.x or later are also supported. http://developer.amd.com/gpu/AMDAPPSDK/pages/DriverCom patibility.aspx
- 16. Prerequisites - Software OpenCL driver. – for nVidia GPUs, Usually OpenCL drivers are distributed with graphic card drivers. http://developer.nvidia.com/object/opencl-download.html Java bindings for OpenCL. – Usually there are two parts Platform dependent dll. e.g. jocl-windows-x86.dll Platform independent jar file. Jocl.jar There are few Implementations. http://jogamp.org/deployment/webstart/archive/jocl-0.9-b1- 20101213-windows-i586.zip JDK http://www.oracle.com/technetwork/java/javase/downloads/ind ex.html
- 17. Demo Program Based on sample program available at http://jogamp.org/wiki/index.php/JOCL_Tutorial