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Home > Resources > Documentation & Articles > Videos > AMD & Sun Technology

AMD & Sun Technology

Seven Sun engineers discuss projects on which they have collaborated with AMD to bring advanced features and performance improvements to Sun’s software development stack.

Solaris

  • Guarav Dhiman
  • Jonathan Chew
  • Kishore Pusukuri
  • Krishnendu Sadhukhan

Sun Studio

  • Fu-Hwa Wang
  • Darryl Gove
  • Yuan Lin

Solaris

Guarav Dhiman
Sun Labs Intern
Solaris Kernel Group

Learn how Solaris takes advantage of a new feature in AMD processors called Instruction Based Sampling, which enables analysis of how instructions are performing on the processor. (3:46)

Read transcript

 
Jonathan Chew
CMT and NUMA Optimizations Tech Lead Solaris Kernel Group

Solaris is tuned to take advantage of AMD’s NUMA architecture, reducing memory access latency.  Jonathan explains the concept of locality in detail. (11:03)

Read transcript

 
Kishore Pusukuri
Sun Labs Intern
Adaptive Optimization Group

Kishore explains how he developed a simple and robust power model using performance monitoring events for AMD Quad-Core and OpenSolaris systems. (9:46)

Read transcript

 
Krishnendu Sadhukhan
Sun Engineer
Solaris x86 Kernel Group

Krishnendu demos commands in Solaris that output system performance data using hardware performance counters in AMD’s
“Barcelona” and “Shanghai” systems. (6:40)

Read transcript

 

Sun Studio

Fu-Hwa Wang
Performance Engineering Project Manager
Sun Studio Compiler Group

Fu-Hwa discusses the charter of his team, why compiler optimization is important, and how his team works with AMD to build optimizations into their compiler. (6:54)

Read transcript

 
Darryl Gove
Performance Analyst
Sun Studio Compiler Group

Learn basic tips for profiling and optimizing your application, including compiler optimization flags for best performance on AMD systems. (3:52)

Read transcript

 
Yuan Lin
Compiler Tools Engineer
Sun Developer Tools Group

Hear how Sun Studio makes parallel programming easier, and works especially well on AMD platforms. (3:21)

Read transcript

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Resources

  • Heterogeneous Computing
    • OpenCL™ Zone
      • Getting Started with OpenCL
      • Tools and Libraries
      • Programming in OpenCL™
        • Introductory Exercises and Tutorials
        • Debugging Applications
        • Optimizing Applications
        • Benchmarking Performance
        • Porting CUDA Applications to OpenCL™
        • Image Convolution Using OpenCL™
          • Image Convolution Using OpenCL™ – A Step-by-Step Tutorial Step 2
          • Image Convolution Using OpenCL™ – A Step-by-Step Tutorial Step 3
          • Image Convolution Using OpenCL™ – A Step-by-Step Tutorial Step 4
          • Image Convolution Using OpenCL™ – A Step-by-Step Tutorial Step 5
          • Image Convolution Using OpenCL™ – A Step-by-Step Tutorial Step 6
      • Training & Events
        • OpenCL™ Course: Introduction to OpenCL™ Programming
        • OpenCL™ Course: Introductory Tutorial to OpenCL™ for HPC at SAAHPC’10
        • OpenCL Programming Webinar Series
        • OpenCL™ On-Demand Webinars
      • Articles & Papers
      • Getting Started – Software & Hardware
    • What is Heterogeneous Computing?
    • What is Heterogeneous System Architecture (HSA)?
      • A Heterogenius Architecture
  • Documentation Library
  • Hardware & Drivers
    • CCC Driver Details
    • “Magny-Cours” Zone
    • ATI Catalyst™ PC Vendor ID (1002) LI
  • AFDS Videos
  • Documentation & Articles
    • Develop Blazing Fast Code with Microsoft Visual Studio® 2008 and AMD Tools
    • Exploiting Multi-Core Processors in Windows Vista
    • Performance Optimization of Windows Applications on AMD Processors, Part I
    • Performance Optimization of Windows Applications on AMD Processors, Part II
    • Ten Things Developers Should Know About Windows 7
    • The Windows NUMA API-What It Is and Why You Care
    • Articles & Whitepapers
      • OpenCL™ Optimization Case Study: Diagonal Sparse Matrix Vector Multiplication Test
      • Barcelona’s Innovative Architecture Is Driven by a New Shared Cache
      • Bulk Encryption on GPUs
      • Develop Blazing Fast Code with Microsoft Visual Studio® 2008 and AMD Tools
      • Going to Barcelona: A Modern Architecture for Breakthrough Software Performance
      • Introduction to “Magny-Cours”
      • Java Performance when Debugging is Enabled
      • JPEG Decoding with Run-Length Encoding: A CPU and GPU Approach
      • New Round-to-Even Technique for Large-scale Data and Its Application in Integer Scaling
      • OpenCL™ and the AMD APP SDK
      • OpenCL™ and the AMD APP SDK v2.4
      • OpenCL™ Optimization Case Study Fast Fourier Transform – Part 1
      • OpenCL™ Optimization Case Study Fast Fourier Transform – Part II
      • OpenCL™ Optimization Case Study: Simple Reductions
      • OpenCL™ Optimization Case Study: Support Vector Machine Training
      • Tiled Convolution: Fast Image Filtering
    • Developer Guides & Manuals
    • Specifications & Technical Bulletins
    • Case Studies
    • Conference Presentations
      • GPU Technical Publications
      • GPU Technology Papers
    • Videos
      • AMD Developer Inside Track
      • Intro to CodeAnalyst
      • OpenCL™ Technical Overview
      • GPU Demo Videos
      • AMD & Sun Technology
      • AMD Opteron 6100 Series: A Developer’s Perspective
      • Software Optimization Video Series
      • Xen Summit North America 2010
    • Java™ Zone
    • Knowledge Base
    • OpenGL® Zone
      • OpenGL® Specifications
    • Samples & Demos
      • Processor and Core Enumeration Using CPUID
      • GPU Demos
        • Radeon™ HD 7900 Series Graphics Real-Time Demos
        • Radeon™ HD 6900 Series Graphics Real-Time Demo
        • Radeon™ HD 5000 Series Graphics Real-Time Demos
        • Radeon™ HD 4800 Series Real-Time Demos
        • FireGL™ V8600 PCI-Express Real-Time Demos
        • Radeon™ HD 3000 Series Real-Time Demo
        • Radeon™ HD 2000 Series Real-Time Demos
  • India Developer Zone
    • India University Courses
    • University Kit & Book
    • C-DAC “Think Parallel” participants visits at AMD – 20th June, 2012
    • C-DAC HeGaPa 2012 Conference
    • Heterogeneous computing Jobs in AMD India
  • Archive
    • Events
      • AMD OpenCL Coding Competition
      • Real-Time Image Processing for Autonomous Learning and Control within 3D Virtual Worlds
      • Semi-Supervised Learning-Based Method for Adaptive Shadow Detection
      • AMD OpenCL™ Coding Competition
      • Real-time Video Effects with AMD & Kinect
      • Numerical Simulation of an X-Ray Generator
    • AppShowcase Archive
    • Archived Tools
      • CPU Tools Archive
        • 128-Bit SSE5 Instruction Set
        • AMD String Library
        • Framewave Project
        • SSEPlus Project
      • GPU Tools Archive
        • ATI Stream Software Development Kit (SDK) v2.0 Beta Program
        • AMD Tootle
        • ASHLI – Advanced Shading Language Interface
        • ATI Radeon™ SDK
        • ATI Stream Software Development Kit (SDK) v1.4-beta
          • ATI Stream SDK MD5 Checksums
        • ATI_Compress
        • CubeMapGen
        • AMD GPU MeshMapper
        • GPU PerfStudio
        • Normal Mapper
        • RenderMonkey™ Toolsuite
          • RenderMonkey Toolsuite – IDE Features
          • RenderMonkey™ Toolsuite – Testimonials
          • RenderMonkey™ Toolsuite – SDK
        • The Compressonator
        • TruForm Resources
          • TruForm™ FAQ
      • Installing GCC on Ubuntu 8.04

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