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TrackFM: Far-out Compiler Support for a Far Memory World
Brian R. Tauro, Brian Suchy, Simone Campanoni, Peter Dinda, Kyle C. Hale
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Bolt: Fast Inference for Random Forests
Random forests use ensembles of decision trees to boost accuracy for machine learning tasks. However, large ensembles slow down …
Eduardo Romero, Christopher Stewart, Angela Li, Kyle C. Hale, Nathaniel Morris
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Isolating Functions at the Hardware Limit with Virtines
An important class of applications, including programs that leverage third-party libraries, programs that use user-defined functions in …
Nicholas C. Wanninger, Joshua J. Bowden, Kirtankumar Shetty, Ayush Garg, Kyle C. Hale
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Extremely Fine-grained Parallelism via Scalable Concurrent Queues on Modern Many-core Architectures
Enabling efficient fine-grained task parallelism is a significant challenge for hardware platforms with increasingly many cores. …
Poornima Nookala, Peter Dinda, Kyle C. Hale, Kyle Chard, Ioan Raicu
Cite DOI IEEE PDF
The Case for an Interwoven Parallel Hardware/Software Stack
The layered structure of the system software stacks we use today allows for separation of concerns and increases portability. However, …
Kyle C. Hale, Simone Campanoni, Nikos Hardavellas, Peter A. Dinda
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Coalescent Computing
As computational infrastructure extends to the edge, it will increasingly offer the same fine-grained resource provisioning mechanisms …
Kyle C. Hale
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Memory Mapping and Parallelizing Random Forests for Speed and Cache Efficiency
Memory mapping enhances decision tree implementations by enabling constant-time statistical inference, and is particularly effective …
Eduardo Romero-Gainza, Christopher Stewart, Angela Li, Kyle C. Hale, Nathaniel Morris
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Playing Fetch with CAT: Composing Cache Partitioning and Prefetching for Task-Based Query Processing
Software prefetching and hardware-based cache allocation techniques (CAT) have been successfully applied in main-memory database …
Qitian Zeng, Kyle C. Hale, Boris Glavic
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Paths to OpenMP in the Kernel
OpenMP implementations make increasing demands on the kernel. We take the next step and consider bringing OpenMP into the kernel. Our …
Jiacheng Ma, Wenyi Wang, Aaron Nelson, Michael Cuevas, Brian Homerding, Conghao Liu, Zhen Huang, Simone Campanoni, Kyle C. Hale, Peter Dinda
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Task Parallel Assembly Language for Uncompromising Parallelism
Achieving parallel performance and scalability involves making compromises between parallel and sequential computation. If not …
Mike Rainey, Ryan R. Newton, Kyle C. Hale, Nikos Hardavellas, Simone Campanoni, Peter Dinda, Umut A. Acar
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