Neighbor-only work stealing for 2D-mesh satellite constellations yields growing per-attempt latency advantages and performs within 2.2% of global stealing on emulated workloads.
In: IEEE International Parallel and Distributed Processing Symposium (IPDPS)
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Data Path Fusion fuses a sequence of data path operations into a single GPU kernel, delivering 2.66-6.22x speedups on TPC-H and 3.84-16.81x on SSB over prior GPU database approaches.
The paper presents performant parallel CPU implementations of tridiagonal factorization for skew-symmetric matrices that exceed prior work via FLAME-derived algorithms and BLIS optimizations.
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Work Stealing for the 2D-Mesh Topology of Satellite Constellations in Low Earth Orbit
Neighbor-only work stealing for 2D-mesh satellite constellations yields growing per-attempt latency advantages and performs within 2.2% of global stealing on emulated workloads.
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Data Path Fusion in GPU for Analytical Query Processing
Data Path Fusion fuses a sequence of data path operations into a single GPU kernel, delivering 2.66-6.22x speedups on TPC-H and 3.84-16.81x on SSB over prior GPU database approaches.