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Panel: What are we doing?

Panelat Sparse 2024 · on Tuesday, 2024-06-25
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Discussion highlights a persistent gap between research and deployable systems, claiming many sparse advances never reach real workloads and arguing that concrete wins need hardware and compiler co-design. Examples: FlashAttention tiling delivers most of the attention speedup by avoiding reloads; exploiting algebraic rewrites couples algorithm and schedule; vendors add features like fp4 clipping on A100 and single-format accelerators that help some kernels but leave others slow. Pushes for roofline limits, sparse-matrix fusion, and data-aware memory representations.

AI-written summary · about

  1. 0:00Panel introduction
  2. 0:43Sparse computing challenges
  3. 3:13Algebraic transformations in compilers
  4. 4:35Dense to sparse performance
  5. 6:01Hardware for sparsity
  6. 7:37Hardware design bounds
  7. 8:48Sparse compiler robustness
  8. 11:20Hardware and compilers convergence
  9. 13:30Compiler distrust in hardware
  10. 15:38Hardware-software interface
  11. 17:25Performance limits summary
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