Parallella seminar ppt
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Parallella an Introduction to supercomputing
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Parallella seminar ppt
- 1. PARALLELLA Democratizing access to super computing AMBILI BABY, No : 03
- 2. PARALLEL COMPUTING SMP (SYMMETRIC MULTIPROCESSING) SHARE COMMON OPERATING SYSTEM AND MEMORY SHARE I/O BUS AND DATA PATH MPP (MASSIVELY PARALLEL PROCESSING) EACH PROCESSOR HAS ITS OWN OPERATING SYSTEM AND MEMORY COMMUNICATE VIA MESSAGING INTERFACE
- 3. SUPERCOMPUTING • WORLDS FASTEST SUPER COMPUTER • MADE UP OF 16,000 COMPUTER NODES • COST - $390 MILLION • POWER - 17,808.00 kW TIANHE-2
- 4. PERSONNEL SUPER COMPUTER Laptop connected to a 42-board, 756-CPU Parallella cluster, which consumes less than 500W!
- 5. PARALLELLA • WORLDS SMALLEST SUPER COMPUTER • COST - $99 • PERFORMANCE – 50GFLOPS/W
- 6. GENESIS INFLUENCED BY: • Arduino • Beaglebone INSPIRED BY: • Raspberry Pi • Zedboard The board is open source hardware
- 7. COMPUTING PLATFORM OPEN ACCESS All architecture and SDK documents will be published on the web OPEN SOURCE based on free open source development tools and libraries AFFORDABILITY high performance computer cost below $100
- 10. E-MESH NETWORK
- 12. MEMORY SHARED MEMORY PRIMARY MEMORY: 1GB SDRAM FLASH MEMORY: 128MB (BOOT CODE) LITTLE-ENDIAN MEMORY ARCHITECTURE. CONSISTING OF 232 8-BIT BYTES.(CONSISTING OF 230 32-BIT WORDS)
- 15. • ACCESSIBLE SOLUTION WITH OPEN SOURCE HARDWARE AND SOFTWARE • SIMPLE AND LOW-COST INTEGRATION DUE TO IMPLEMENTATION FLEXIBILITY, AND RESOURCE AVAILABILITY • POWERFUL PLATFORM WITH – DUAL CORE ARM PROCESSOR – PROGRAMMABLE FPGA – EPIPHANY 16 OR 64 CORE PARALLEL PROCESSOR BENEFITS
- 16. APPLICATIONS Computing Infrastructure: Super Computers Big Data Analytics Software Defined Networking Data-center Appliances Consumer: Smart-phones and tablet app acceleration Computational photography Speech Recognition Face detection/recognition
- 18. CONCLUSION • FAST AND POWER EFFICIENT • LESS POWER IS NEEDED • FULLY-FEATURED ANSI-C/C++ AND OPENCL PROGRAMMING ENVIRONMENTS • LARGE APPLICATION DOMAIN SUPPORT
- 19. AREAS TO BE IMPROVED • NEED IMPROVED SDK (ON THE WAY..) • CACHE MIGHT IMPROVE THE PERFORMANCE (SOFTWARE CACHE IS ON THE WAY…) • SYNCHRONIZATION AND RANDOMNESS IS A BIG ISSUE…
- 20. THANK YOU FOR YOUR ATTENTION ANY QUESTIONS? AMBILI BABY, NO :03
Editor's Notes
- Power required for super computer – 17,808 kw Normal desktop pc – 60-250 w Laptop – 15 -45 w 2*64 processors… 1 cluster here = 4 parallella boards 42*64/4
- Here it is parallella, the personnel super computer. It only have a size of …….this much. Which is formed by combinig a number of parallella boards together. It serve as a super computer with less power and low cost Speed of tianhe 2 is ..1 petaflops (10^15)
- Arduino is an open-source electronics platform based on easy-to-use hardware and software. Arduino is an open-source computer hardware and software company, project and user community that designs and manufactures kits for building digital devices and interactive objects that can sense and control the physical world The BeagleBoard is a low-power open-source hardware single-board computer produced by Texas Instruments in association with Digi-Key and Newark element14 could be used in colleges around the world to teach open source hardware and software capabilities. It is also sold to the public under the Creative Commons share-alike license. The Raspberry Pi is a series of credit card-sized single-board computers developed in the UK by the Raspberry Pi ZedBoard is a low-cost development board for the Xilinx Zynq™-7000 All Programmable SoC (AP SoC). The Parallella computer platform is an open source, energy efficient, high performance, credit card sized computer based on the Epiphany multicore chips from Adapteva. This affordable platform is designed for developing and implementing high performance, parallel processing. Applications developed to take advantage of the on-board Epiphany parallel processor can achieve unprecedented performance at the lowest power in the industry.
- Open Access: Absolutely no NDAs or special access needed! All architecture and SDK documents will be published on the web as soon as the Kickstarter project is funded. Open Source: The Parallella platform will be based on free open source development tools and libraries. All board design files will be provided as open source once the Parallella boards are released. Affordability: Hardware costs and SDK costs have always been a huge barrier to entry for developers looking to develop high performance applications. Our goal
- Features Zynq-Z7010 or Z7020 Dual-core ARM A9 CPU 16 or 64-core Epiphany Multicore Accelerator 1GB RAM MicroSD Card 2x USB 2.0 4 general purpose expansion connectors 10/100/1000 Ethernet HDMI port Linux Operating System 54mm x 87mm form factor
- Every router in the mesh is connected to North, East, West, South, and to a mesh node. Routers at every node contains round-robin arbiters Network complete transactions in a single clock cycle because of spatial locality and short point-to-point on-chip wires. • Each mesh node has globally addressable ID (6 row-ID and 6 col-ID)
- Each one of the Epiphany processor nodes can run independent programs. Figure 1.3 shows the general programming flow for the Epiphany architecture, highlighting the independent build of programs running on different cores and the use of a common loader to load the complete multicore program onto the chip. The multicore IDE handles the detail of configuring and building multicore projects.
- The Future is… Open Heterogeneous Massively Task-Parallel Efficient Grande Challenges Ahead… • Rebuild the computer ecosystem • Rewrite billions of lines of code • Retrain millions of programmers • Rewrite the education curriculum Open Computing Language (OpenCL) is a framework for writing programs that execute across heterogeneous platforms consisting of central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), field-programmable gate arrays (FPGAs) and other processors.