Paper detail

CARAM: A Content-Aware Hybrid PCM/DRAM Main Memory System Framework

The emergence of Phase-Change Memory (PCM) provides opportunities for directly connecting persistent memory to main memory bus. While PCM achieves high read throughput and low standby power, the critical concerns are its poor write performance and limited durability, especially when compared to DRAM. A naturally inspired design is the hybrid memory architecture that fuses DRAM and PCM, so as to exploit the positive aspects of both types of memory. Unfortunately, existing solutions are seriously challenged by the limited main memory size, which is the primary bottleneck of in-memory computing. In this paper, we introduce a novel Content Aware hybrid PCM/DRAM main memory system framework - CARAM, which exploits deduplication to improve line sharing with high memory efficiency. CARAM effectively reduces write traffic to hybrid memory by removing unnecessary duplicate line writes. It also substantially extends available free memory space by coalescing redundant lines in hybrid memory, thereby further improving the wear-leveling efficiency of PCM. To obtain high data access performance, we also design a set of acceleration techniques to minimize the overhead caused by extra computation costs. Our experiment results show that CARAM effectively reduces 15%~42% of memory usage and improves I/O bandwidth by 13%~116%, while saving 31%~38% energy consumption, compared to the state-of-the-art of hybrid systems.

preprint2020arXivOpen access
0citations
0reviews
0saves
Nocode
Nodataset
0institutions

Next steps

Decide what to do with this paper

Use like or dislike for the fast social read. The more specific scholarly feedback stays available below when needed.

Log in to curate

Reading frame

Keep the important context close to the paper

Keep the important signals around this paper in one place: votes, save state, collection context, reviews and the metadata you need before deciding what to do next.

Authors

Institutions

Add specific reaction

Move through the context

Research map

Open full explorer

Move through nearby people, institutions, topics and adjacent work without leaving the paper page.

Building this graph slice

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Structured reviews

0 review(s)

ContributeLeave structured feedbackUse the review template when you have a concrete strength, concern or method question.Open review form

No structured reviews yet. High-signal critique starts here.

Work discussion

0 comment(s)

DiscussAdd a high-signal commentKeep quick notes, caveats and replication pointers separate from formal reviews.Open comment form

No discussion yet. The first strong comment sets the tone.