Reproduce “ASIC-based Compression Accelerators for Storage Systems: Design, Placement, and Profiling Insights” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Tao Lu, Jiapin Wang, Yelin Shan, Xiangping Zhang, Xiang Chen
DPZip, an ASIC-based in-storage compression accelerator integrated into PCIe 5.0 SSDs, was introduced and empirically evaluated against peripheral and on-chip ASIC accelerators. This in-storage solution achieved the lowest latencies for compression (4.7µs) and decompression (2.6µs) and demonstrated superior power efficiency and multi-tenant isolation, scaling up to 98.6GB/s across eight devices.
Key insights
- In-storage CDPUs provide the lowest latencies and superior multi-device scalability by eliminating host-CDPU data movement, making them highly efficient for IO-bound and latency-sensitive workloads.
- While hardware CDPUs effectively offload CPUs and improve power efficiency, end-to-end application performance is heavily influenced by architectural choices and system-level overheads, meaning raw accelerator performance does not directly translate to proportional gains.
- Effective multi-tenant sharing requires robust isolation mechanisms; in-storage CDPUs demonstrated significantly better stability and less resource contention compared to other solutions lacking strong Virtual Function isolation.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.