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Design Review

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... scan granularity depending on current National Terrorist Attack Threat level ... will test our system on two levels: unit and system. Server, Network and ... – PowerPoint PPT presentation

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Title: Design Review


1
Design Review 1
Team 1 Cowboy and Indians
March 1st, 2005
Mark Hairgrove
Jay Patel
Prameet Shah
Samir Shah
2
Design Goals
  • A robust security system that would provide
    notification upon the release of a bio-terror
    agent in a public domain such as an Airport.
  • Distributed network of sensor nodes reporting to
    a centralized server
  • Network communication with two-way authentication
    protocol
  • Server side virus alert system
  • Variable scan granularity depending on current
    National Terrorist Attack Threat level
  • Database upgradeability via network uplink
  • Real-time sensor diagnostic monitoring
  • Robust signal processing to handle noisy signals
    from a vast open space
  • Run BLAST fast

3
Design Exploration
BLAST Algorithm
  • BLAST utilizes most of the computation time
  • Want to maximize throughput
  • Optimize for
  • Speed
  • Memory/Database Usage
  • Ease of Implementation
  • How?

4
Design Exploration
BLAST Algorithm
index time self children called
name
ltspontaneousgt 1 100.0 0.01 79.31
main 1 74.75
0.00 38154/38154 get_hits 2
0.87 2.93 38154/38154 extend_hits
3 0.27 0.48 1/1
generate_nbr_words 6 0.00
0.00 1/1 check_qry
10 ---------------------------------------------
-- 74.75 0.00 38154/38154
main 1 2 94.2 74.75 0.00 38154
get_hits 2 -------------------------------
---------------- 0.87 2.93
38154/38154 main 1 3 4.8 0.87
2.93 38154 extend_hits 3
0.40 1.61 3171601/4522804 blosum62
4 0.35 0.24 150213/150213
save_hsps 8 0.06 0.28
150213/334213 b62_score 7 -----------------
------------------------------
25 Char Query, 14M DB
5
Design Exploration
BLAST Algorithm
94.2
4.8
0.9
6
Design Exploration
BLAST Algorithm
  • BLAST spends most of its time finding hits
    (string comparisons are expensive)
  • In order to get it to run fast, we have 2 options
  • Amdahl says make string compare fast as we spend
    most of our time finding hits
  • We could also introduce some parallelism
  • Split algorithm and pipeline?
  • Split Database?

7
Design Exploration
Architecture
  • Design 1 NIOS Arbiter

8
Design Exploration
Architecture
  • Design 1 NIOS Arbiter
  • Pros
  • NIOS cores are very fast gt can run at speeds of
    up to 180 MHz
  • String comparison in custom hardware can be done
    in two-level logic and is thus faster than
    software
  • Cons
  • We have a clear load imbalance with this design
    (ARM will be on vacation most of the time)
  • Implementing BLAST across NIOS and ARM is
    complicated

9
Design Exploration
Architecture
  • Design 2 Dual ARM

10
Design Exploration
Architecture
  • Design 2 Dual ARM
  • Pros
  • Parallel searching halves computation time
  • Increases throughput
  • Cons
  • Memory transfer is slow because NIOS is
    intermediate medium
  • We have a clear load imbalance with this design
    (ARM will be on vacation most of the time)
  • Implementing BLAST across NIOS and ARM is
    complicated

11
Design Exploration
Architecture
  • Design 3 Dual ARM, Split Database

12
Design Exploration
Architecture
  • Design 3 Dual ARM, Split Database
  • Pros
  • Allows unimpeded parallel computing
  • String comparison throughput is doubled from
    parallel ARM
  • Cons
  • Extra cost of hardware
  • Increased complexity of the system

13
Verification and Test Plan
  • We will test our system on two levels unit and
    system
  • Server, Network and Distributed Nodes
  • This will be tested with a series of nodes that
    are simulated in software
  • Custom Hardware
  • Test with verilog testbench in ModelSim and cross
    reference with MATLAB
  • BLAST Algorithm
  • Test with a sequence of test vectors
  • Memory
  • Test with programs that erase, write and read
    from memory

14
Demonstration Plan
Demo 1
  • BLAST Algorithm ported to C from MATLAB
  • Convert MATLAB code to C in a manner that allows
    easy transfer to hardware
  • Test and prove correctness
  • Custom Hardware Tested
  • Complete the Amino Acid mapping hardware in
    Verilog
  • Use a test bench as proof that it works
  • Simple Networking
  • NIOS Ethernet connectivity installed and
    configured
  • Simple socket communication/message transfer to
    PC and back
  • DSP Design Exploration
  • Explore matching algorithms
  • Write MATLAB code to convert from waveforms to
    nucleotides
  • Develop encoding scheme for nucleotides
  • Explore real-time vs. post signal processing

15
Schedule
16
Schedule
17
Division of Labor
  • Mark Hairgrove
  • Network integration, authentication protocol,
    simulated testing, network diagnostic tool
  • Jay Patel
  • Custom hardware design, memory interfaces and
    control, database upgradeability feature
  • Prameet Shah
  • Deciphering input signals from gene sequencer.
  • Samir Shah
  • Porting BLAST to C, optimizing algorithm, running
    on NIOS, splitting across ARM and integrating
    with memory

18
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