Scalable parallel event-driven HDL simulation for multi-cores

Ahmad, Tariq; Kim, Namdo; Min, Byeong; Kalia, Apurva; Ciesielski, Maciej; Yang, Seiyang

doi:10.1109/smacd.2012.6339456

Cited by 5 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…First, the fundamental of predictive parallel event-driven logic simulation will be explained [9][10] [11]. We will call each of the simulations for a partitioned module in parallel event-driven simulation as local simulation, and the corresponding partitioned module as local module.…”

Section: Predictive Parallel Event-driven Logic Simulationmentioning

confidence: 99%

See 1 more Smart Citation

Predictive Parallel Gate-level Timing Simulation with Fast and Accurate Prediction

Han¹,

Yang²

2017

World Congress on Electrical Engineering and Computer Systems and Science

Self Cite

View full text Add to dashboard Cite

-A promising predictive parallel event-driven logic simulation had been proposed for greatly enhancing the parallel simulation performance, which could be heavily disturbed by synchronization & communication overhead among local simulations. For achieving the maximal simulation performance in the predictive parallel event-driven logic simulation, the high prediction accuracy is the key factor. In this paper, we have enhanced this noble parallel simulation method with fast, yet accurate prediction using incremental simulation. Preliminary experimentation has been performed for common design changes, and shown the effectiveness of the proposed approach.

show abstract

Section: Predictive Parallel Event-driven Logic Simulationmentioning

confidence: 99%

“…A very different distributed parallel event-driven simulation method based on the prediction had been proposed [8]. Afterward, the successive papers published had shown the effectiveness of the method [9][10] [11]. In this noble method, the high prediction accuracy could solely achieve the significant simulation performance improvement.…”

Section: Introductionmentioning

confidence: 99%

Predictive Parallel Gate-level Timing Simulation with Fast and Accurate Prediction

Han¹,

Yang²

2017

World Congress on Electrical Engineering and Computer Systems and Science

Self Cite

View full text Add to dashboard Cite

show abstract

Parallel Multi-core Verilog HDL Simulation Using Domain Partitioning

Ahmad

Ciesielski

2014

2014 IEEE Computer Society Annual Symposium on VLSI

View full text Add to dashboard Cite

An Approach to Multi-core Functional Gate-Level Simulation Minimizing Synchronization and Communication Overheads

Ahmad

Ciesielski

2013

2013 14th International Workshop on Microprocessor Test and Verification

Self Cite

View full text Add to dashboard Cite

This paper addresses performance issues encountered in parallel functional gate-level simulation executed on multi-core machine. It demonstrates that a straightforward application of the multi-core simulation on a multi-core machine does not improve simulation performance. This is due to unbalanced partitioning, lack of sufficient concurrency in the design partitions, overhead due to communication between partitions, and synchronization overhead imposed by the simulator. We propose, implement and automate a generic (partitioning-independent) prediction-based solution to eliminate or minimize communication and synchronization overhead in an event-driven functional gate-level simulation on a multi-core machine. We demonstrate speedup obtained with this method on a set of real Opensource designs.

show abstract

Scalable parallel event-driven HDL simulation for multi-cores

Cited by 5 publications

References 2 publications

Predictive Parallel Gate-level Timing Simulation with Fast and Accurate Prediction

Predictive Parallel Gate-level Timing Simulation with Fast and Accurate Prediction

Parallel Multi-core Verilog HDL Simulation Using Domain Partitioning

An Approach to Multi-core Functional Gate-Level Simulation Minimizing Synchronization and Communication Overheads

Contact Info

Product

Resources

About