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Presentation Slides by Pipat Methavanitpong about the author for Seminar class Nov 19, 2012 at Kunieda-Isshiki Laboratory, Tokyo Institute of Technology.
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Pipat Methavanitpong (M1)
November 19, 2012
OUTLINE
Me
Fractional-order Sinusoidal Oscillator
Faster Microprocessors
Name: Pipat Methavanitpong
Nationality: Thailand
Graduated from: SIIT, Thammasat
University in 2012
Electronic and Communication
Engineering
Senior Project – Fractional-order
Sinusoidal Oscillator
Work Experience: none
Internship Experience: YES!!
NECTEC Integrated Circuit
Development Section Basic SystemC Syntax
Silicon Craft
Basic SRAM Schematic
Skills: have experienced many
programming languages both H/L level
[Experience does not mean
proficiency]
MATLAB, SIMULINK, OrCAD,
LabView
68HC11, 8086, Arduino, PLC
C, C#, Java, Groovy, SQL, HTML,
CSS, PHP, VHDL, Flex
Goal: Develop faster CPU than others in
the market
My Current Work: Support Surachai-san
developing Dalvik extension to Lab’s
TCT processor
ME <=
FRACTIONAL-ORDER SINUSOIDAL OSCILLATOR
Simple
MATH:
What I did
Follow Elwakil’s work
he provides generalization of design of n-
fractional-order devices oscillator
The only HOPE for my graduation!!
Literature review on Fractional-order
devices
Implement this knowledge in my advisor’s
Current Tunable Sinusoidal Oscillator ’87
Result – It works and oscillates faster
BUT, still have not fully understood what
fractional-order calculus is
Very complex calculation
FRACTIONAL-ORDER SINUSOIDAL OSCILLATOR
S. Pookaiyaudom, B. Srisuchinwong, and W. Kurutach,
“A Current-Tunable Sinusoidal Oscillator”, IEEE
Transactions on Instrumentation and Measurement, Vol.
IM-36, No. 3, September, pp. 725-729, Sep 1987.
WHY none in market
Creation of these devices is
NOT FEASIBLE
Realization from a mesh of
recursive R and C structure
Require LARGE area to
make it near ideal
performance
FRACTIONAL-ORDER SINUSOIDAL OSCILLATOR
5-level stage becomes this
mess
FRACTIONAL-ORDER SINUSOIDAL OSCILLATOR
1 level (LPF)
8 levels
12 levels
More levels -> More bandwidth
FRACTIONAL-ORDER SINUSOIDAL OSCILLATOR
HOPE, There is ! Such characteristic is found in organic things e.g.
There are reports of fabricated Si-devices for lab use.
An Advantage from this knowledge More precise control on every conventional circuits
Faster oscillator
Better PID controller
Any rate of attenuation electronic filter
Greener electronic devices
FASTER MICROPROCESSORS
How to become FASTER
YIN / YANG
An Era of Parallel Computing
Combination Dedicated Functionalities
Dark Silicon Gap
FASTER MICROPROCESSORS
How to become FASTER
2 choicesWork HARDER – Overclocking, Brute-force
Work SMARTER – Better algorithms and management
FASTER MICROPROCESSORS
YIN / YANG Everything has both advantages and disadvantages Analog systems No loss of data Very sensitive to interference
Digital systems Reconfigurable / Distortion Immunity Limited Range of Data (freq range)
Smaller MOSFET Faster / Lower power Higher power density / Undeterministic Quantum Mechanic Behavior
Single Electron Transistor Even lower power consumption Blurred digital state
It is we, the engineers, whose task is to push through the limitation and shift to new paradigm via BREAKTHROUGH
An Era of Parallel Computing We cannot keep clock frequency rising Power consumption / Heat
Move to the new paradigm Share works with friends
Teamwork is the key
Everybody may not be perfect
But, everybody can take part in a work to get it done
But, as we know in every group work we have faced as students, researchers, employees, and etc.
Unfair work distribution – Better Arbiter
Waterfall workflow – Better Dataflow
Communication problem - NoC
FASTER MICROPROCESSORS
The ANALOGY of modern
microprocessors is now same as
URBAN PLANNINGTransportation – Communication between modules
Company – Functionality
People - Data
Combination Dedicated FunctionalitiesOne does not fit all
Give a right job to a right person
AMD APU – A combination of CPU and GPU on a single chip
CPU – less core / more memory Control intensive
GPU – more core / less memory Computation intensive
CPU + FPGA – dynamic functionalities
FASTER MICROPROCESSORS
FASTER MICROPROCESSORS
Dark Silicon Gap A term by H. Esmaeilzadeh etal. – Dark Silicon and the End of
Multicore Scaling ’12
Underutiliztion of transistor integration capacity
As a number of cores keep rising, the efficiency of utilization from
parallelization becomes WORST