RapidOMS: FPGA-based Open Modification Spectral Library Searching with HD Computing
Mass spectrometry (MS) is essential for protein analysis but faces significant challenges with large datasets and complex post-translational modifications, resultingin difficulties in spectral identification. Open Modification Search (OMS) improves the analysis of these modifications. We present RapidOMS, a solution leveraging the Samsung SmartSSD, which integrates SSD and FPGA in a near-storage configuration to minimize data movement and enhance the efficiency of large-scale database searching. RapidOMS employs hyperdimensional computing (HDC), a brain-inspired, high-dimensional data processing approach, exploiting the parallel processing and low-latency capabilities of FPGAs, making it well-suited for MS. Utilizing the parallelism and efficiency of bitwise operations in HDC, RapidOMS delivers up to a 60x speedup over the state-of-the-art (SOTA) CPU tool ANN-Solo and is 2.72x faster than the GPU tool HyperOMS. Furthermore, RapidOMS achieves an 11x improvement in energy efficiency compared to conventional systems, providing scalable, energy-efficient solutions for large-scale proteomics applications and advancing the efficient processing of proteomic data.
Authors
- Niema Moshiri (ORCID: https://orcid.org/0000-0003-2209-8128)
- Sang-Woo Jun (ORCID: https://orcid.org/0000-0002-5548-2241)
- Tajana Rosing (ORCID: https://orcid.org/0000-0002-6954-997X)
- Weihong Xu (ORCID: https://orcid.org/0000-0003-3766-3353)
- Wout Bittremieux (ORCID: https://orcid.org/0000-0002-3105-1359)
- Sumukh Pinge (ORCID: https://orcid.org/0009-0009-3186-610X)
Institutions
- University of Antwerp (BE)
- University of California, Irvine (US)
- University of California San Diego (US)
Publication Details
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1109/biocas61083.2024.10798176
- Citations
- 4
- Primary Topic
- CCD and CMOS Imaging Sensors
- Type
- article
- Field-Weighted Citation Impact
- 0.83