The Mathematics and Computer Science (MCS) division at Argonne is seeking a Predoctoral Appointee to work on enabling HDF5 to support data compression on GPU.
HDF5 provides built-in compression support through the H5Z filter mechanism, which allows developers to integrate compression algorithms so that data can be automatically compressed and decompressed during I/O operations. However, the current H5Z filter framework is designed with CPU-based compressors in mind and does not effectively support GPU-based compression.
In this project, we aim to integrate GPU compressors into the HDF5 ecosystem. This may involve developing GPU-enabled H5Z filters, potentially leveraging the Virtual Object Layer (VOL), as well as exploring hybrid approaches that combine GPU compressors with the existing H5Z filter mechanism. The resulting solution will be designed to be extensible across different GPU compressors and compatible with frameworks such as libpressio.
We will conduct a comprehensive performance evaluation of the proposed approach, with the goal of producing one to two high-quality research publications.
Temporary
Predoctoral Appointee
Long-Term (Fixed Term)
Full time
The expected hiring range for this position is $58,297.00-$97,161.00.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
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