In collaboration with researchers in data compression and custom circuit design at Argonne National Laboratory, we will conduct research on hardware-based adaptive data compression.
The focus of this collaborative research will be on methods to adaptively provide suitable data compression algorithms for various inputs, techniques to dynamically reconstruct these algorithms on hardware, and approaches to operate data compression with low overhead on pipelined custom circuits.
We will evaluate the performance of this integrated adaptive data compression hardware by assessing compression ratios for various data types, evaluating circuit area and power consumption, measuring throughput and overhead, and conducting evaluations using benchmark applications. Additionally, we will examine and study the applicability of this technology to real-world, large-scale systems and networks and the resulting performance improvements.
Position Requirements
Job Family
Temporary
Job Profile
Visiting Scholar - Non Exempt Hourly
Worker Type
Long-Term (Fixed Term)
Time Type
Full timeThe expected hiring range for this position is $17.20-$127.29.
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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