What’s the Matter with Kansas Lava?

Farmer, Andrew; Kimmell, Garrin; Gill, Andy

doi:10.1007/978-3-642-22941-1_7

Cited by 3 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Given that we support user defined primitives (and we used a couple in LDPC), then the possibility of an incorrect new primitive, or a lingering bug in our code generator remains. In order to tackle this, we have developed a system that exploits the way we execute the interpreter and simulator together automatically and compared for correctness [15]. The idea is that a complete circuit is tested with a provided stimuli, and run both as a Lava interpreter and a VHDL program executing on ModelSim.…”

Section: Testing Ldpcmentioning

confidence: 99%

Using Functional Programming to Generate an LDPC Forward Error Corrector

Gill

Bull

DePardo

et al. 2011

2011 IEEE 19th Annual International Symposium on Field-Programmable Custom Computing Machines

Self Cite

View full text Add to dashboard Cite

FPGAs as commodities offer a resource for highperformance computation that is unmatched in flexibility and price/performance. As a lab, we are interested in high-level descriptions of computation and data, and how they may be customized to map effectively on FPGA fabrics. This paper describes our tool-chain, approach and methodology to FPGA utilization. We give a case study of the generation of a low density parity checking forward error correction algorithm, and discuss the specific challenges we faced with using FPGAs as our target.

show abstract

Section: Testing Ldpcmentioning

confidence: 99%