README.md

Highlights

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

   • Tags: PL, DB [i3QL]: https://dl.acm.org/citation.cfm?id=2660242

2. MapD - Massive Parallel Database

   • Tags: DB, GPU
   • Root et al., [MapD: a GPU-powered big data analytics and visualization platform][mapd16], 2016 [mapd16]: https://dl.acm.org/citation.cfm?id=2927468

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]

   • Tags: Hybrid
   • Keywords: Neumann, TPC-H, PostGRE, MonetDB [Kohn]: https://db.in.tum.de/~leis/papers/adaptiveexecution.pdf

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

The State-of-the-art Systems

• MapD
  • Website | GitHub | Overview (Recommend)

• MoneDB
  • Website | GitHub | Embedded NumPy

Researchers

DB-prone

• Thomas Neumann: SQL query processing
• Christoph Koch: Scala + DB

PL-prone

• David Padua: Vectorization

Both

• Chenglong Wang under Rastislav Bodík: Program synthesis

Others

• dplyr, FlumeJava, Pig Latin
• XLA: a domain-specific compiler for linear algebra that optimizes TensorFlow computation
• OpenACC: resources
• CPU + FPGA: Intel HARP, Intel altera, Performance evaluation, Xeon + FPGA.pdf