ADDICT: Advanced Instruction Chasing for Transactions

Summary: ADDICT uses memory-characterization: 98% instruction overlap and 6% data-footprint overlap across same-type transactions to guide core assignment. It pins frequent actions to dedicated cores to keep their instruction footprints in L1I, delivering up to 85% L1I miss reduction and up to 50% total runtime reduction. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 10887
Venue: VLDB
Year: 2014
Pagerank: 4.5420317e-05
Overall Rank: 8,261 | 42.59%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,926	Design Principles for Scaling Multi-core OLTP Under High Contention	2016	SIGMOD	7.8868401e-05
4,979	In-Network Support for Transaction Triaging	2021	VLDB	5.7830279e-05
8,731	TensorSocket: Shared Data Loading for Deep Learning Training	2026	SIGMOD	4.4520434e-05
11,958	Databases and Hardware: The Beginning and Sequel of a Beautiful Friendship	2015	VLDB	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
515	QPipe: A Simultaneously Pipelined Relational Query Engine	2005	SIGMOD	0.00021209491
1,369	Aether: A Scalable Approach to Logging	2010	VLDB	0.0001235533
1,483	Improving OLTP Scalability using Speculative Lock Inheritance	2009	VLDB	0.00011713238
1,659	Fractal Prefetching B+-Trees: Optimizing Both Cache and Disk Performance	2002	SIGMOD	0.00010970279
3,627	Cache-conscious Frequent Pattern Mining on a Modern Processor	2005	VLDB	6.900129e-05

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