SIMD-Scan: Ultra Fast in-Memory Table Scan using on-Chip Vector Processing Units
Summary: SIMD-Scan utilizes on-chip vector processing units to accelerate in-memory scans of compressed columnar tables. No extra hardware or copy overhead; scalable across cores; integrated into SAP NetWeaver BW Accelerator as the standard scan operator. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Thomas Willhalm
- 2. Nicolae Popovici
- 3. Yazan Boshmaf
- 4. Hasso Plattner
- 5. Alexander Zeier
- 6. Jan Schaffner
Incoming Citations (Sorted by Pagerank)
Showing 9 of 59 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,930 | An Application-Specific Instruction Set for Accelerating Set-Oriented Database Primitives | 2014 | SIGMOD | 4.4229886e-05 |
| 9,646 | The FastLanes File Format | 2025 | VLDB | 4.3067693e-05 |
| 9,905 | Rethinking the Encoding of Integers for Scans on Skewed Data | 2023 | SIGMOD | 4.2537799e-05 |
| 10,105 | RABIT: Efficient Range Queries with Bitmap Indexing | 2026 | SIGMOD | 4.1905499e-05 |
| 10,179 | LiveBin: A Localized and Version-Aware Binned Scan Index | 2026 | SIGMOD | 4.1905499e-05 |
| 10,755 | Scaling GPU-Accelerated Databases beyond GPU Memory Size | 2025 | VLDB | 4.1905499e-05 |
| 10,808 | GraphAr: An Efficient Storage Scheme for Graph Data in Data Lakes | 2025 | VLDB | 4.1905499e-05 |
| 11,628 | Towards Multi-way Join Aware Optimizer in SAP HANA | 2020 | VLDB | 4.1905499e-05 |
| 11,851 | Efficient Query Processing on Many-core Architectures: A Case Study with Intel Xeon Phi Processor | 2016 | SIGMOD | 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 |
|---|---|---|---|---|
| 343 | Implementing Database Operations Using SIMD Instructions | 2002 | SIGMOD | 0.00026756534 |
| 708 | Performance Tradeoffs in Read-Optimized Databases | 2006 | VLDB | 0.00017753572 |
| 826 | Main-Memory Scan Sharing For Multi-Core CPUs | 2008 | VLDB | 0.00016161625 |
| 1,622 | Row-wise Parallel Predicate Evaluation | 2008 | VLDB | 0.00011104582 |
| 1,908 | How to Barter Bits for Chronons: Compression and Bandwidth Trade Offs for Database Scans | 2007 | SIGMOD | 0.00010130401 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,622 | Row-wise Parallel Predicate Evaluation | 2008 | VLDB | 0.00011104582 |
| 1,267 | BitWeaving: Fast Scans for Main Memory Data Processing | 2013 | SIGMOD | 0.00012917585 |
| 2,390 | ByteSlice: Pushing the Envelop of Main Memory Data Processing with a New Storage Layout | 2015 | SIGMOD | 8.9006978e-05 |
| 1,726 | Fast Updates on Read-Optimized Databases Using Multi-Core CPUs | 2012 | VLDB | 0.00010734339 |
| 6,116 | Database Processing-in-Memory: An Experimental Study | 2020 | VLDB | 5.1995375e-05 |
| 1,908 | How to Barter Bits for Chronons: Compression and Bandwidth Trade Offs for Database Scans | 2007 | SIGMOD | 0.00010130401 |
| 343 | Implementing Database Operations Using SIMD Instructions | 2002 | SIGMOD | 0.00026756534 |
| 7,817 | Hardware-Oblivious SIMD Parallelism for In-Memory Column-Stores | 2020 | CIDR | 4.6400608e-05 |
| 11,858 | Vectorizing an In Situ Query Engine | 2016 | SIGMOD | 4.1905499e-05 |
| 959 | Rethinking SIMD Vectorization for In-Memory Databases | 2015 | SIGMOD | 0.00015034808 |