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Authors (et al.) Title Venue (Link)
Neumann Efficient compiling query plans for modern hardware PVLDB'12
Dursun SiliconDB: rethinking DBMSs for modern heterogeneous co-processor ... DAMON'17
Breb GPU-Accelerated Database Systems: Survey and Open Challenges TLSDKCS'14
Pirk Voodoo - A Vector Algebra for Portable Database Performance on ... VLDB'16
Klonatos Building Efficient Query Engines in a High-Level Language VLDB'14
Stonebraker C-Store: A Column-oriented DBMS VLDB'05
Kemper HyPer: A hybrid OLTP&OLAP main memory database system based on ... ICDE'11
... ... ...

Related Papers

See tag convensions

Sable Lab

  1. Garg et al., Velociraptor: An Embedded Compiler Toolkit for Numerical Programs Targeting CPUs and GPUs
    • Tags: CPU, GPU
    • Keywords: VRIR, MATLAB, Python, JIT

Others (A long list)

  1. Mitschke et al., [i3QL: Language-Integrated Live Data Views][i3QL], OOPSLA'14

  2. MapD - Massive Parallel Database

  3. Ocelot: A Hardware-Oblivious Database Engine

    • Tags: DB, GPU, MonetDB, OpenCL
    • Homepage (Last commit: 2016-05-11)
  4. GPU Ocelot: open-source dynamic JIT compilation framework for GPU compute applications

    • Tags: GPU, PTX
    • About GPU Ocelot: link
  5. Kohn et al., Adaptive Execution of Compiled Queries, available [online][Kohn]

  6. Palkar et al., Weld: A Common Runtime for High Performance Data Analytics, CIDR'17

    • Tags: Common IR
    • Keywords: cross functions, SQL, machine learning, graph analytics
  7. Wu et al., Red Fox: An Execution Environment for Relational Query Processing on GPUs, CGO'14 ([pdf][redfox])

    • Tags: GPU
    • Keywords: Relational Query, GPU redfox

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