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FastLoad: Speeding Up Data Loading of Both Sparse Matrix and Vector for SpMV on GPUs
AMP: Total Variation Reduction for Lossless Compression via Approximate Median-based Preconditioning
zeroTT: A Two-Step State Transition Avoidance Scheme for MLC STT-RAM
cuFastTuckerPlus: A Stochastic Parallel Sparse FastTucker Decomposition Using GPU Tensor Cores
MF-Net: A Multimodal Fusion Model for Fast Multi-object Tracking
LAMP: Improving compression ratio for AMR applications via level associated mapping-based preconditioning
COFFEE: Cross-Layer Optimization for Fast and Efficient Executions of Sinkhorn-Knopp Algorithm on HPC Systems
ZFP-X: Efficient Embedded Coding for Accelerating Lossy Floating Point Compression
A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data
zMesh: Theories and Methods to Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement
Total Variation Reduction for Lossless Compression of HPC Applications
Exploring Level-Wise Interpolation to Improve Lossy Compression Ratio for AMR Applications
zMesh: Exploring Application Characteristics to Improve Lossy Compression Ratio for Adaptive Mesh Refinement
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