Latest News

Paper Accepted at ARC 2023

S. Tamimi, A. Bernhardt, F. Stock, I. Petrov, A. Koch NVMulator: A Configurable Open-Source Non-volatile Memory Emulator for FPGAs In Proc. ARC 2023.

NVMulator is an open-source easy-to-use hardware emulation module that can be seamlessly inserted between the NDP processing elements on the FPGA and a conventional DRAM-memory.

Abstract:

We present NVMulator, an open-source easy-to-use hardware emulation module that can be seamlessly inserted between the NDP processing elements on the FPGA and a conventional DRAM- based memory system. We demonstrate that, with suitable parametrization, the emulated NVM can come very close to the performance char- acteristics of actual NVM technologies, specifically Intel Optane. We achieve 0.62% and 1.7% accuracy for cache line sized accesses for read and write operations, while utilizing only 0.54% of LUT logic resources on a Xilinx/AMD AU280 UltraScale+ FPGA board. We consider both file-system as well as database access patterns, examining the operation of the RocksDB database when running on real or emulated Optane- technology memories.

New Research Project

DBlab starts a new research project RL@Cloud , aiming to explore new cloud designs for the sustainable use of large datasets, containing structured high-resolution measurement data.

Paper Accepted at DAMON 2023

A. Bernhardt, A. Koch, I. Petrov. pimDB: From Main-Memory DBMS to Processing-In-Memory DBMS-Engines on Intelligent Memories. In Proc. DAMON 2023.

In this paper, we introduce pimDB and provide an initial comparison of processor-centric and PIM-DBMS approaches under different aspects, such as scalability and parallelism, cache-awareness, or PIM-specific compute/bandwidth tradeoffs.

Abstract:

In this paper, we introduce pimDB and provide an initial comparison of processor-centric and PIM-DBMS approaches under different aspects, such as scalability and parallelism, cache-awareness, or PIM-specific compute/bandwidth tradeoffs.

Congrats "Dr." Riegger!

DBlab congratulates Christian Riegger on the successful defence of his dissertation "Multi-version Indexing for large Datasets with high-rate continuous Insertions" . So congrats on the next level, Christian!

Best Paper Award EDBT'23

Our paper bloomRF: On Performing Range-Queries in Bloom-Filters with Piecewise-Monotone Hash Functions and Prefix Hashing has been awarded a
Best Paper Award at (EDBT 2023)

We are extremely happy about the recognition and wish to thank the committee for considering our work.

HiPEAC 2022 Paper Award

Our paper S. Tamimi, F. Stock, A. Bernhardt, I. Petrov, A. Koch. An Evaluation of Using CCIX for Cache-Coherent Host-FPGA Interfacing. In Proc. FCCM 2022. has been awarded a HiPEAC 2022 Paper Award.