Karin Strauss
Molecular Biology · 2002–2019
A researcher in the Science corpus: 8 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 36 citations into it
- Hardware and Architecture — 13 citations into it
- Electrical and Electronic Engineering — 12 citations into it
Whom Karin Strauss trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Karin Strauss's perspective
Ordered by how strongly the researchers Karin Strauss trusts endorse each paper. Same corpus, a different order for every researcher.
- A durable and energy efficient main memory using phase change memory technology (International Symposium on Computer Architecture)
- Architecting phase change memory as a scalable dram alternative (International Symposium on Computer Architecture)
- Scalable high performance main memory system using phase-change memory technology (International Symposium on Computer Architecture)
- Dynamic knobs for responsive power-aware computing (ASPLOS XVI)
- ERSA: Error Resilient System Architecture for probabilistic applications (Design, Automation and Test in Europe)
- ImageNet classification with deep convolutional neural networks
- Neural network computation with DNA strand displacement cascades (Nature)
- Architecture support for disciplined approximate programming (ASPLOS XVII)
- Managing performance vs. accuracy trade-offs with loop perforation (ESEC/FSE '11)
- Robust chemical preservation of digital information on DNA in silica with error-correcting codes. (Angewandte Chemie)
Their papers
- Approximate storage in solid-state memories (2013) — 298 citations
- A DNA-Based Archival Storage System (2016) — 475 citations
- Molecular digital data storage using DNA (2019) — 496 citations
- Random access in large-scale DNA data storage (2018) — 744 citations
- Accelerating Deep Convolutional Neural Networks Using Specialized Hardware (2015) — 343 citations
- Toward Accelerating Deep Learning at Scale Using Specialized Logic (2015)
- Toward accelerating deep learning at scale using specialized hardware in the datacenter (2015) — 48 citations
- An Overview of the BlueGene/L Supercomputer (2002) — 576 citations