Static scheduling of synchronous data flow programs for digital signal processing
IEEE Transactions on Computers
Asynchronous distributed simulation via a sequence of parallel computations
Communications of the ACM - Special issue on simulation modeling and statistical computing
High-level modeling and FPGA prototyping of microprocessors
FPGA '03 Proceedings of the 2003 ACM/SIGDA eleventh international symposium on Field programmable gate arrays
Asim: A Performance Model Framework
Computer
The Yorktown Simulation Engine: Introduction
DAC '82 Proceedings of the 19th Design Automation Conference
In-System FPGA Prototyping of an Itanium Microarchitecture
ICCD '04 Proceedings of the IEEE International Conference on Computer Design
The FAST methodology for high-speed SoC/computer simulation
Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design
FPGA-Accelerated Simulation Technologies (FAST): Fast, Full-System, Cycle-Accurate Simulators
Proceedings of the 40th Annual IEEE/ACM International Symposium on Microarchitecture
A-Ports: an efficient abstraction for cycle-accurate performance models on FPGAs
Proceedings of the 16th international ACM/SIGDA symposium on Field programmable gate arrays
Quick Performance Models Quickly: Closely-Coupled Partitioned Simulation on FPGAs
ISPASS '08 Proceedings of the ISPASS 2008 - IEEE International Symposium on Performance Analysis of Systems and software
A case for FAME: FPGA architecture model execution
Proceedings of the 37th annual international symposium on Computer architecture
RAMP gold: an FPGA-based architecture simulator for multiprocessors
Proceedings of the 47th Design Automation Conference
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Computer architects need to run cycle-accurate performance models of processors orders of magnitude faster. We discuss why the speedup on traditional multicores is limited, and why FPGAs represent a good vehicle to achieve a dramatic performance improvement over software models. This article introduces A-Port Networks, a simulation scheme designed to expose the fine-grained parallelism inherent in performance models and efficiently exploit them using FPGAs.