Implementation of the Jet Algorithm. Sam Silverstein Anders Ferm Torbjörn Söderström
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1 Implementation of the Jet Algorithm Sam Silverstein Anders Ferm Torbjörn Söderström
2 We are rewriting the Jet algorithm from scratch Full-size algorithm (x7) Produce portable VHDL code Take advantage of modern design tools (FPGA Advantage) Chance to examine and reevaluate algorithm elements and organisation
3 Strategy: Compact Design Design logic blocks that use as few resources as possible -bit serial vs. 0-bit parallel Eliminate duplicated operations Adder trees Nearest neighbor comparison
4 Some examples from the The adder trees algorithm Local maximum identification
5 The Jet adder trees Jet elements Core elements 8 7 0
6 Input 77 Jet elements (X bits Least Significant First) Step Step Step Step Step Compare X neighbors. X X to X. X X X X to X. X X X to X.
7 Input 77 Jet elements (X bits Least Significant First) Step Step Step Step Step Compare X neighbors. X X to X. X X X X to X. X X X to X.
8 x Jet element Sum (Step ) 0 Total summation ,0 0
9 x Jet element Sum (Step ) 0 Total x summations
10 Input 77 Jet elements (X bits Least Significant First) Step Step Step Step Step Compare X neighbors. X X to X. X X X X to X. X X X to X.
11 Input 77 Jet elements (X bits Least Significant First) Step Step Step Step Step Compare X neighbors. X X to X. X X X X to X. X X X to X.
12 x Jet element Save (Step ) 0 9 Save 0 Jet elements for the X summations
13 Input 77 Jet elements (X bits Least Significant First) Step Step Step Step Step Compare X neighbors. X X to X. X X X X to X. X X X to X.
14 Input 77 Jet elements (X bits Least Significant First) Step Step Step Step Step Compare X neighbors. X X to X. X X X X to X. X X X to X.
15 x Jet element Sum (Step ) ,0 0
16 x Jet element Sum (Step ) ,0 0
17 x Jet element Sum (Step ) 0 Total 0x summations
18 Input 77 Jet elements (X bits Least Significant First) Step Step Step Step Step Compare X neighbors. X X to X. X X X X to X. X X X to X.
19 Input 77 Jet elements (X bits Least Significant First) Step Step Step Step Step Compare X neighbors. X X to X. X X X X to X. X X X to X.
20 x Jet element Sum (Step ) ,0 0
21 x Jet element Sum (Step ) 0 Total x summations
22 Input 77 Jet elements (X bits Least Significant First) Step Step Step Step Step Compare X neighbors. X X to X. X X X X to X. X X X to X.
23 x Jet element Sum (Step ) ,0 0
24 x Jet element Sum (Step ) 0 Total summation 9 8 7,0 0
25 Input 77 Jet elements (X bits Least Significant First) Step Step Step Step Step Compare X neighbors. X X to X. X X X X to X. X X X to X.
26 x Jet element Sum (Step ) ,0 0
27 x Jet element Sum (Step ) ,0 0
28 Input 77 Jet elements (X bits Least Significant First) Step Step Step Step Step Compare X neighbors. X X to X. X X X X to X. X X X to X.
29 Comparators can be shared AGTB BGTA A BGTA B
30 Sam SamSilverstein: Silverstein: Local maximum is OR of eight comparisons > > > > Local Max
31 Status of algorithm Adder trees: completed Local maximum ID: completed Jet cluster selection: completed Threshold comparison: completed Level-, ROI result reporting: nearly done Test vector generation: starting to write C++ code
32 Things left to do Finish algorithm Synthesize for Virtex - size estimate! Simulate and verify with test vectors Integrate with rest of algorithm on main processor FPGA Produce test vectors for slice tests
33 Some final words We are approaching the point where we need to interface with other work Integration of Jet algorithm on JEM main processor FPGA Testing of algorithm: HDMC? Who should Anders and Torbjörn be contacting?
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