在非易失性存储器中利用连续相同词和动态基的差异进行有效压缩

Swati Upadhyay, Arijit Nath, H. Kapoor
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引用次数: 1

摘要

新兴的非易失性存储器被认为是取代传统DRAM主存的潜在候选人。然而,诸如长写延迟、高写能量和低写持久性等缺点使它们在内存层次结构中直接采用具有挑战性。减少写入比特数的方法有助于克服这些缺点。在这个方向上,我们提出了一种压缩技术,可以减少写入NVM的总比特数,从而提高其生命周期。所提出的方法,SIBR,通过消除要写入的字或减少为每个字写入的位数,将传入的块压缩为PCM。对于前者,不写入内容为零或与连续单词相同的单词。后者是通过计算每个单词与一个基本单词的差异,并仅存储差异(或增量)而不是整个单词来完成的。我们的贡献的新颖之处在于在运行时更新基本词,从而实现更好的压缩。结果表明,与固定基相比,用动态确定的基计算δ可以得到更小的δ值。动态基是同一块中的另一个单词。通过实现相当低的压缩比和高覆盖率,SIBR优于两种最先进的压缩技术。实验结果表明,大大减少了比特翻转,提高了寿命。
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Exploiting successive identical words and differences with dynamic bases for effective compression in Non-Volatile Memories
Emerging Non-volatile memories are considered as potential candidates for replacing traditional DRAM in main memory. However, downsides like long write latency, high write energy, and low write endurance make their direct adoption in the memory hierarchy challenging. Approaches that reduce the number of bits written are beneficial to overcome such drawbacks. In this direction, we propose a compression technique that reduces overall bits written to the NVM, thus improving its lifetime. The proposed method, SIBR, compresses the incoming blocks to PCM by either eliminating the words to be written or by reducing the number of bits written for each word. For the former, words that have either zero content or are identical to consecutive words are not written. The latter is done by computing the difference of each word with a base word and storing only the difference (or delta) instead of the full word. The novelty of our contribution is to update the base word at run-time, thus achieving better compression. It is shown that computing the delta with a dynamically decided base compared to a fixed base gives smaller delta values. The dynamic base is another word in the same block. SIBR outperforms two state-of-the-art compression techniques by achieving a fairly low compression ratio and high coverage. Experimental results show a substantial reduction in bit-flips and improvement in lifetime.
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