1. Real-Time System-On-A-Chip Emulation

2.  Introduction  Describing SOC Designs  System-Level Design Flow  SOC Implemantation Paths-Emulation and ASICs  Case Study : A 1 Mbps Narrow-Band Transmission System  Conclusions

3. 4.SOC Implemantation Paths-Emulation and ASICs  Berkeley Emulation Engine Direct Mapped Designs and the BEE Architecture BEE Emulation Prototyping Concepts for BEE Hardware Emulation Designing for Hardware Emulation  Designing for ASICs

4. Berkeley Emulation Engine  Provide a large, unified, real-time emulation flatform for data-flow-centric designs  Rapid prototyping Using an existing H/W framework to speed up design process  Systhesis-based design method The emulation runs at the same speed as the final product Design discription can be utilized in emulation environmant and final ASIC implementation Maintaining cycle-accurate

5. Direct Mapped Designs and the BEE Architecture 1  Direct Mapping – top level element already explicitly specity the H/W architecture with cycle-accurate behavior  FPGA and ASIC implementations are functionally same  Suited for high level of parallelism and low- power with stringent perfomance specifications H/W architecture

6. Direct Mapped Designs and the BEE Architecture 2  BEE (Berkeley Emulation Engine)  Two-layer Mesh routing architecture  BEE is optimized towords local connectivity  An aggregate of FPGA chips on a PCB  BPU (BEE Processing Unit) emulate system up to 10million ASIC equivalent gates  MPB(Main Processing Board) 20 Xilinx VertexE2000 16Mbyte SRAM (1Mbyte x 16)  Power efficient when ASIC retaregeted

7. The BEE Main Processing Board

8. BEE Emulation  SBC :enables a BPU to be connected to Ethernet  SBC 가 20 개의 FPGA(MPB) 와 configuration FPGA 를 통해서 연결  BPU 의 모든기능을 제어 Programming FPGA Data read back Clock domain control Power management Thermal management H/W infrastructure and information flow

9. Prototyping Concepts for BEE Hardware Emulation  Functional and cycle-level emulaton 과 filnal ASIC implementation 은 동등한 과정  Concept-oriented prototyping  BEE excels in real-time in-circuit verification

10. Designing for Hardware Emulation  일반적인 design flow 에 BEE technology mapping  Partitioning for BEE emulator is hard problem  high-level partitioning is left for the user system-level routing architecture has a profound influence on design designer has a lot of a priori information on the layout of the design.  Xilinx System Generator and the Integrated Synthesis Environment(ISE) automatically technology mapping for individual FPGA’s Virtual components libraries..

11. Designing for ASICs  ASIC implementation is possible after the design has been evaluated and approved using BEE hardware emulation  Simulink-to-Silicon Hierarchical Automated Flow Tool  virtual components for ASIC’s are in the form of parameterizable Synopsys Module Compiler descriptions.  Frontend Synopsys synthesis framework  Backend Cadence tool suite

12. 5.Case Study : A 1 Mbps Narrow-Band Transmission System  Digital communication circuit are an application domain which is particulary suited for BEE design enviroment  The solid gray blocks are System Generator blocks that have a direct parametrizable hardware implementation  Master clock frequency : 32 MHz.

13. High-Level Analysis and the Emulation Run

15. ASIC Implementation  Running the transmitter through the ASIC flow took 56 minutes of processor time on a 400MHz Sun UltraSPARCII  core area is 0.28mm^2 with a utilization factor of 0.34  estimated maximum clock speed is 100MHz( > 32MHz)  dynamic power is estimated to be 0.611mW and leakage power 0.016mW  ST Microelectronics 0.13µm CMOS process with lowleakage standard cells

16. 6.Conclusions  high degree of designer productivity and predictable performance.  Hardware emulation High verification speed Confidence on the archieved results  Test can be performed with real-world I/O  Performance and functionality verification can be implemented on the emulator  Objective advantages from the designer’s point of view include improved understanding of the overall system and its real-time behavior with the analog portions of the system. Effecively eliminating the simulation speed bottlenecks, automatic testbench generation, and interoperability with other analysis software