Productive, portable, and performant GPU programming in Python.
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Updated
Oct 5, 2026 - C++
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sparse-computationHere are 12 public repositories matching this topic...Sort: Most stars
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Productive, portable, and performant GPU programming in Python.
High-performance large-scale embedding acceleration for JAX on Google TPU SparseCores.
Leveraging Taichi Lang to customize brain dynamics operators.
Improving SpGEMM Performance Through Matrix Reordering and Cluster-wise Computation [SC'25]
parallel-computing matrix-multiplication sparse sparse-matrix sparse-matrix-library numerical-linear-algebra spgemm sparse-representations sparse-matrix-multiplication sparse-computation
Sparse Lie algebra engine for G₂, F₄, E₆, E₇, E₈ — 913× compression, lattice gauge theory, equivariant GNN layers. pip install dhl-mm
robotics openmp high-performance-computing differential-geometry physics-simulation sparse-matrix pybind11 lattice-qcd e8 geometric-deep-learning quantum-simulation lie-algebra graph-neural-network gauge-theory sparse-computation equivariant-neural-network structure-constants exceptional-groups
CPU-native inference runtime. Local-propagation paradigm: the active region pays the cost, not the field. Bit-exact across architectures. Validated for streaming anomaly detection and audio VAD.
runtime c99 cellular-automata locality ddos-detection deterministic lattice-boltzmann anomaly-detection edge-computing voice-activity-detection cache-aware no-gpu neural-cellular-automata sparse-computation cpu-inference streaming-inference low-power-computing stencil-computing bit-exact integer-fixed-point
machine-learning fpga robotics pytorch embedded-systems quantization risc-v cim onnx edge-ai mlir tinyml computing-in-memory sparse-computation power-optimization
Design record for ECSIE, an entropy-controlled execution runtime for sparse Mixture-of-Experts models — architecture, public API, benchmark harness and measured results.
cpp systems benchmarks moe inference-engine mixture-of-experts sparse-computation llm gguf speculative-decoding
Relation-based language modeling, RelationLex tokenization, stateful decode, and fused Triton kernels
Compressed Sparse Row (CSR) Sparse Matrix-Dense Matrix Multiplication (SpMM) acceleration kernel with row-pointer parallelism and load-balanced binning.
Research code for testing whether causal token surprisal can guide adaptive computation, sparse refinement, and learned compute allocation in byte-level language models.
A biologically inspired R&D blueprint for sparse, grounded, continual, energy-efficient AI.
neuroscience artificial-intelligence open-science biomimetics causal-inference model-compression continual-learning active-sensing world-models sensorimotor-learning adaptive-computation conditional-computation embodied-ai memory-consolidation sparse-computation predictive-processing eu-ai-act energy-efficient-ai biologically-inspired-ai modular-neural-networks
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