Triton join: Efficiently scaling to a large join state on gpus with fast interconnects
Database management systems are facing growing data volumes. Previous research
suggests that GPUs are well-equipped to quickly process joins and similar stateful …
suggests that GPUs are well-equipped to quickly process joins and similar stateful …
[PDF][PDF] Is fpga useful for hash joins?
Benefiting from the fine-grained parallelism and energy efficiency, heterogeneous
computing platforms featuring FP-GAs are becoming more and more common in data …
computing platforms featuring FP-GAs are becoming more and more common in data …
Briskstream: Scaling data stream processing on shared-memory multicore architectures
We introduce BriskStream, an in-memory data stream processing system (DSPSs)
specifically designed for modern shared-memory multicore architectures. BriskStream's key …
specifically designed for modern shared-memory multicore architectures. BriskStream's key …
Accelerating database systems using FPGAs: A survey
P Papaphilippou, W Luk - 2018 28th International Conference …, 2018 - ieeexplore.ieee.org
Database systems are key to a variety of applications, and FPGA-based accelerators have
shown promise in supporting high-performance database systems. This survey presents a …
shown promise in supporting high-performance database systems. This survey presents a …
VIP: A SIMD vectorized analytical query engine
O Polychroniou, KA Ross - The VLDB Journal, 2020 - Springer
Query execution engines for analytics are continuously adapting to the underlying hardware
in order to maximize performance. Wider SIMD registers and more complex SIMD instruction …
in order to maximize performance. Wider SIMD registers and more complex SIMD instruction …
Streambox-hbm: Stream analytics on high bandwidth hybrid memory
Stream analytics has an insatiable demand for memory and performance. Emerging hybrid
memories combine commodity DDR4 DRAM with 3D-stacked High Bandwidth Memory …
memories combine commodity DDR4 DRAM with 3D-stacked High Bandwidth Memory …
Towards practical vectorized analytical query engines
O Polychroniou, KA Ross - … of the 15th International Workshop on Data …, 2019 - dl.acm.org
Query execution engines are adapting to the underlying hardware in order to maximize
performance. Wider SIMD registers and more complex SIMD instruction sets are emerging in …
performance. Wider SIMD registers and more complex SIMD instruction sets are emerging in …
Interleaved multi-vectorizing
Z Fang, B Zheng, C Weng - Proceedings of the VLDB Endowment, 2019 - dl.acm.org
SIMD is an instruction set in mainstream processors, which provides the data level
parallelism to accelerate the performance of applications. However, its advantages diminish …
parallelism to accelerate the performance of applications. However, its advantages diminish …
Accelerating data filtering for database using FPGA
In the big data era, in order to relieve computational pressure on overloaded CPU caused by
ever increasing amount of data, many researches focus on hardware acceleration using …
ever increasing amount of data, many researches focus on hardware acceleration using …
Joins on high-bandwidth memory: a new level in the memory hierarchy
C Pohl, KU Sattler, G Graefe - The VLDB Journal, 2020 - Springer
High-bandwidth memory (HBM) gives an additional opportunity for hardware performance
benefits. The high available bandwidth compared to regular DRAM allows execution of …
benefits. The high available bandwidth compared to regular DRAM allows execution of …