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RAPID: In-Memory Analytical Query Processing Engine with Extreme Performance per Watt

Summary: RAPID is a hardware/software co-designed, in-memory, columnar analytic engine for SQL workloads. It achieves extreme performance-per-watt gains over modern DBMS via a purpose-built, low-power processor and architecture-aware optimizations. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5488
Venue
SIGMOD
Year
2018
Pagerank
4.1945683e-05
Overall Rank
11,708 | 18.55%
DOI
10.1145/3183713.3190655

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Showing 11 of 11 cited papers.

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

Rank Cited Paper Year Venue Pagerank
35 MonetDB/X100: Hyper-Pipelining Query Execution 2005 CIDR 0.00076197749
42 A Comparison of Approaches to Large-Scale Data Analysis 2009 SIGMOD 0.00073498298
404 Multi-Core, Main-Memory Joins: Sort vs. Hash Revisited 2014 VLDB 0.00024143076
515 QPipe: A Simultaneously Pipelined Relational Query Engine 2005 SIGMOD 0.00021214633
940 SharedDB: Killing One Thousand Queries With One Stone 2012 VLDB 0.00015173166
1,338 Query Processing on Smart SSDs: Opportunities and Challenges 2013 SIGMOD 0.00012493384
1,429 A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses 2009 VLDB 0.00012033518
1,881 Ibex - An Intelligent Storage Engine with Support for Advanced SQL Off-loading 2014 VLDB 0.00010217568
2,272 Streams on Wires — A Query Compiler for FPGAs 2009 VLDB 9.1334837e-05
4,385 Flexible Query Processor on FPGAs 2013 VLDB 6.2331718e-05
8,927 An Application-Specific Instruction Set for Accelerating Set-Oriented Database Primitives 2014 SIGMOD 4.427232e-05
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