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Computer Architectures CS401 Sabanci University erkays@sabanciuniv

Computer Architectures CS401 Sabanci University erkays@sabanciuniv.edu. Motivation.

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Computer Architectures CS401 Sabanci University erkays@sabanciuniv

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  1. Computer Architectures CS401 Sabanci University erkays@sabanciuniv.edu Erkay Savas

  2. Motivation • The IEEE/ACM Computer Curricula 2001, prepared by the Joint Task Force on Computing Curricula of IEEE Computer Society and ACM lists computer architecture as one of the core subjects that should be in the curriculum of all students in computer science and engineering. • The computer lies at the heart of the computing. Without it most of the computing disciplines today would be a branch of theoretical mathematics. To be a professional in any field of computing today, one should NOT regard the computer just a black box that executes program by magic. All students of computing should acquire some understanding and appreciation of a computer system’s functional components, their characteristics, their performance and their interactions. There are practical implications as well. Students need to understand computer architecture in order to structure a program so that it runs more efficiently on a real machine. In selecting a system to use, they should to able to understand the tradeoff among various components, such as CPU clock speed vs. memory size. Erkay Savas

  3. Instructor • Dr. Erkay Savaş • Office: FENS 1098 • e-mail: erkays@sabanciuniv.edu • url: http://people.sabanciuniv.edu/~erkays • class webpage: http://people.sabanciuniv.edu/~erkays/cs401/cs401.html • Phone: x9606 (not a preferred way of communication) • Use sucourse • Office hour: Tuesday (09:40-11:30) • or by appointment Erkay Savas

  4. Instruction • Midterm: 30% • After the term break • In lab/recitation session • Final: 40% • No official lab sessions • homework assignments will do • Homework assignments: 4-5 per term • 15% • Project: 10% • Participation & attendance: 5% • Quiz & in-class questions Erkay Savas

  5. ENIAC world’s first general-purpose computer Erkay Savas

  6. ENIAC by Eckert & Mauchly • Electronic Numerical Integrator And Calculator • Technology: Vacuum tubes (19000+) • Cost like 300 million USD. • The main components • 20 registers (each 10-digit wide, 60 cm long), addition/subtraction and temporary storage • Initiator: powering up/shutting down the computer, starting computation • Master programmer: controls the execution of programs Erkay Savas

  7. ENIAC • Multiplier • multiplication of a 10-digit number by a d-digit number (for d up to 10) took d+4 cycles, so a 10by 10-digit multiplication took 14 cycles, or 2800 microseconds—a rate of 357 per second • Function tables: used for programming • Programming: by wiring the cables and setting 3000 switches manually. Done for every program. • Energy Consumption: 200 Kilo Watt • 30 tons • Purpose: Used for calculation of missile trajectories. Erkay Savas

  8. Programming(!) ENIAC Erkay Savas

  9. Dispute • The English also claimed that the world’s first general-purpose computer was built in England • COLOSSUS in 1943 • The problem was about the definition of general-purpose computer. • Also by British, EDSAC (Electronic Delay Storage Automatic Calculator) • by Maurice Wilkes of Cambridge Universityin 1949 • Stored-program computer • Non-electronic computers • Harvard Mark I – IBM ASCC (1944), Zuse Z3 (1941) Erkay Savas

  10. Difference Engine • By Charles Babbage in 1850s Erkay Savas

  11. What about now? What are the capabilities of contemporary computers?

  12. Intel CentrinoTM Architecture • CPU • Chipset • Wireless Network Interface Erkay Savas

  13. Chipset Erkay Savas

  14. Intel Core 2 • Core 2 brand refers to a range of Intel's consumer 64-bit dual-core and MCM quad-core CPUs with the x86-64 instruction set, • Produced: From 2006 • MaxCPUclock: 1.06 GHz to 3.20 GHz • FSBspeeds: 0533 MT/s to 1600 MT/s • Process:65 nm to 45 nm • Instruction set: x86, MMX, SSE, SSE2, SSE3, SSSE3, x86-64, SSE4 (SSE4 is for only Penryn-based processors) • Microarchitecture: Intel Core microarchitecture • Cores: 1, 2, or 4 (2x2) Erkay Savas

  15. Yorkfield XE Processor • Core 2 Extreme QX9650: • On November 11, 2007 • The first Intel desktop processor to use 45 nm technology and high-k metal gates. • Features a dual-die quad core design • Two unified level-two (L2) caches, with a total of 12 MiB (2 × 6144 KiB). • Features a 1333 MHz FSB • clock speed of 3 GHz. • The processor incorporates SSE4.1 instructions • total of 820 million transistors on 2x107 mm² dies. Erkay Savas

  16. Mobile Processors: Merom • Core 2 Duo ULV U7700 • Clock speed: 1333 MHz • Second level Cache Size: 2048 KiB • Front Side Bus Speed: 533 MT/s • Voltage: 0.80 - 0.975 V • Power: 10 W • Release Date: December 30, 2007 • Price: $289 • Technology: 65 nm • Die Size: 111 mm2. • Virtualization and Trusted Execution Technology Erkay Savas

  17. How is this progress possible? What is the key technology behind it and what is the law that is governing the progress in this technology? Erkay Savas

  18. Semiconductor Technology • Transistors: tiny devices that can be realized easily(!) in silicon which is abundant on earth. • A transistor is basically a switch that can be used to implement some logical operations. • A collection of transistor which implement a logical operation is called as gate. • A gate implements a logic primitive (AND, OR) • Using logical gates we can realize millions of useful operations we can think of. Erkay Savas

  19. Moore’s Law • The observation made in 1965 by Gordon Moore, co-founder of Intel, • the number of transistors/in2 on IC had doubled every year since the IC was invented. • Moore predicted that this trend would continue for the foreseeable future. • The pace slowed down a bit, • transistor density doubles approximately every 18 months, • and this is the current definition of Moore’s Law. • Most experts expect Moore’s Law to hold for at least another one or two decades Erkay Savas

  20. Architecture & Organization • More transistors and better process technology  faster processors • It is important to know what to do with these resources • more memory • larger cache • another cache level • a powerful multiplier unit • unit for networking operations • new instructions Erkay Savas

  21. Extremes: Fastest Computers • Earth Simulator Computer (ESC) • Built by NEC • Fastest from 2002 to 2004 • Claimed Applications • high resolution global models • predictions of global warming. • high resolution regional models • predictions of el Niño, monsoon. • Simulation of earthquake generation process • Suspected Application • Simulation of nuclear weapon explosions Erkay Savas

  22. Fastest Computer: ESC • Processor technology: NEC SX • vector processor • Multiprocessor system • 5120 processors in total • 10 TB of memory • 700 TB of disk • 450 TB  system • 250 TB  users • 1.6 PB of mass storage in tape drivers • Area of the computer: 4 tennis courts, three floors • 35.86 trillion calculations per second (TFLOPS) Erkay Savas

  23. Birds-Eye View of ESC Erkay Savas

  24. Cross-Sectional View of ESC Erkay Savas

  25. New ESC Facilities Erkay Savas

  26. Wiring of ESC Erkay Savas

  27. Blue Gene/L • The first computer in the Blue Gene series • 2004 • Linpack benchmark: 36.01 TFLOPS • 8-cabinet system, with each cabinet holding 1,024 compute nodes • On October 27, 2005, reaching 280.6 TFLOPS on Linpack, • 65,536 "compute nodes" (i.e., 216 nodes) • an additional 1024 "I/O nodes" in 64 air-cooled cabinets. • a 900TB filesystem. • During an upgrade in 2007 (LLNL BlueGene/L the performance increased to 478 TFLOPS sustained. Erkay Savas

  28. Other Extreme: Smallest • Sensor Nodes • Berkeley Mote: • 8-bit RISC processor • 4 MHz clock • 8 Kbytes Flash Memory for programs • OS code space: 3500 bytes • Available code space: 4500 bytes • 512 bytes RAM Data Memory • 10 Kbps radio Erkay Savas

  29. what it needs to be (smart dust) commercially available in development vs. vs. Kris Pister (University of California at Berkeley) Other Extreme: Smallest • Cost: • today ~ $100 • need to be < $1 • Size: Erkay Savas

  30. New Ideas, Concepts • Ubiquitous computing • Everywhere but not too visible, • Easy to interact • Real, the opposite of VR (virtual reality). • Pervasive computing • Numerous, casually accessible, often invisible computing devices • Frequently mobile or embedded in the environment • Connected to an increasingly ubiquitous network structure • Wearable computer • Embedded processors Erkay Savas

  31. Embedded Processors • Today, large majority of computation devices are not in desktop computers or workstations but embedded in video games, laser printers, automobiles, etc. • Tomorrow, computation devices will be definitely and literally everywhere; • watches, roads, our clothes, our desk, and any small household item, walls of your house will have some sort of computational capacity if not certain type of intelligence. Erkay Savas

  32. Embedded Processors Erkay Savas

  33. Different Processors Erkay Savas

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