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Trigger design engineering tools

Trigger design engineering tools. Data flow analysis. Data flow analysis through the entire Trigger Processor allow us to refine the optimal architecture . The optimal architecture is constrained by the Pixel Detector architecture and readout the segment finder algorithm

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Trigger design engineering tools

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  1. Trigger design engineering tools

  2. Data flow analysis • Data flow analysis through the entire Trigger Processor allow us to refine the optimal architecture. • The optimal architecture is constrained by • the Pixel Detector architecture and readout • the segment finder algorithm • the track and vertex finder algorithm • Type of constrains • physical layout • data flow • electrical • monetary

  3. Data flow analysis tools • Queuing theory: provides a measure of data throughput and efficiency in the system. Allow us to calculate buffer sizes and eliminate bottlenecks. • 1st two statistical moments of the input distributions • computing time of processing nodes • algorithms • communication nets

  4. Data flow analysis tools (cont.) • Data flow simulation (Matlab) : performs verification of the parameters estimated in the queuing analysis. Runs “real” events instead of probabilistic moments • Simulation files come from physic simulations. • Event processing and communication times are the same as in queuing analysis. • Simulation results provide • a measure of the bandwidth • a measure of the efficiency • buffer sizes • bottleneck detection • Down side of data flow simulations • still to far away from implementation. (Too high level behavioral)

  5. Data flow analysis tools (cont.) • Why Matlab? • Very good data analysis package. • Excellent GUI. • communicates with C and C++. • Most widely math oriented simulation package in the university world. • ESE/CD has one license. • Matlab output files can be used with other data analysis packages.

  6. Implementation tools • The main components in the implementation of the Trigger Processor are FPGAs and DSPs. • The main tools to be used are • FPGAs: • VHDL simulators and compilers. • Synthesis tools. • Fitters and routers (FPGA specific). • DSPs: • Simulators. • Compilers. • Assemblers. • Profilers • Profiled based compilation (TI compiler feature).

  7. VHDL simulators and compilers • VHDL is a hardware description language. • The VHDL compiler generates a netlist of logic equations that will be minimized by the synthetizer and later on converted to a “fusemap” by the router and fitter. • Lower level behavioral simulation • good to cross validate parameters in the queuing analysis and behavior simulation. • starting point to generate the FPGA firmware. • VHDL simulation. • VHDL simulators allow the use of typical gate and register delays • timing parameters can be feedback from FPGA fitters. • VHDL implementation • ALTERA, XILINX, Lucent, etc

  8. VHDL simulators and compilers (cont.) • Brand-specific software • Quartus (AHDL for Altera parts) • VHDL and Verilog is supported • Xilinx Foundation • VHDL and Verilog is supported • Brand-independent VHDL software • Many sources. There are commercial and public domain packages. • VHDL code is very flexible. • No code is 100% portable. • Code may contain synthesis directives. • VHDL code independent of target device. • ALDEC: Currently used VHDL package at ESE/CD

  9. VHDL design • ALDEC • Design entry: VHDL • State machines • Block diagrams • Simulation • XILINX Foundation • Synthesis • Implementation • Leonardo (Exemplar) • Synthesis Place & route (Fitter) XILINX Alliance Altera place & route Lucent place & route

  10. DSP’s • Texas Instrument DSP’s • announcing new series TMS320C64x • 8 times the performance of TMS320C62x/7x • 600-1100 MHz • 4800-8800 MIPs • 2400-4400 16bit MACs • Code size reduction of ~25% • Analog Devices • SHARC • Tiger SHARC: • 5000 MIPs • 120 MFLOPs • New Analog Devices/Intel DSP

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