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Aurojit Panda

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#artificial intelligence Preprint Oct 2026

Cleave: Scaling Tensor Program Optimization via Decoupled Algebraic Search and Operator Scheduling

Optimized kernels such as FlashAttention and FlashDecoding are crucial for accelerating today's large models. Most of them are handwritten by experts because existing ML compilers cannot match their efficiency. Producing such kernels requires fusing computations with multiple reductions, which requires both algebraic t...

David Pissarra, Jinkun Lin, Hai-Tian Jiang et al. · 0 citations
Book Open access Sep 2026

Fun Optimizations for eBPF Programs and How to Enable Them

An extension to the compilation process with a post-verification optimization phase to address the eBPF verifier limitation and measure the performance overhead introduced by these restrictions.

Farbod Shahinfar, Aurojit Panda, Gianni Antichi · 0 citations
Book Open access Aug 2026

Don't Stall Me Now: Hiding Memory Latency in eBPF

Beeswax overlaps the execution of program stages, and thus hides cache miss overheads, and is applied to Katran, a load balancer deployed in production data centers, and BMC, a key-value store accelerator.

Farbod Shahinfar, Marco Molè, Aurojit Panda et al. · 0 citations

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