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This paper presents a detailed study of fairness in cache sharing between threads in a chip multiprocessor (CMP) architecture. Prior work in CMP architectures has only studied throughput optimization techniques for a shared cache. The issue of fairness in cache sharing, and its relation to throughput, has not been studied. Fairness is a critical issue(More)
This paper studies the impact of L2 cache sharing on threads that simultaneously share the cache, on a chip multi-processor (CMP) architecture. Cache sharing impacts threads nonuniformly, where some threads may be slowed down significantly, while others are not. This may cause severe performance problems such as sub-optimal throughput, cache thrashing, and(More)
— This paper describes the hardware architecture for a flexible probability density estimation unit to be used in a Large Vocabulary Speech Recognition System, and targeted for mobile platforms. The speech recognition system is based on Hidden Markov Models and consists of two computationally intensive parts – the probability density estimation using(More)
This paper proposes an architecture for real-time large vocabulary speech recognition on a mobile embedded device. The speech recognition system is based on Hidden Markov Model (HMM), which involves complex mathematical operations such as probability estimation and Viterbi decoding. This computational nature makes it power hungry and real-time recognition(More)
OFDM technology promises to be a key technique for achieving the high data capacity and spectral efficiency requirements for wireless communication systems in future. Fast Fourier transform (FFT) processing is one of the key procedures in popular orthogonal frequency division multiplexing (OFDM) communication systems. A parallel and pipelined Fast Fourier(More)
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