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Ali Emre Oztas

3 papers hereh-index 16 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AR2
  • cs.AI1

identity via Semantic Scholar / OpenAlex

most citedAgentic-HLS: An agentic reasoning based high-level synthesis system using large language models (AI for EDA workshop 2024)

2 citations · 2 across the 2 of their papers we have counts for

collaborators

3 papers

cs.AR2026

TALU: A Reconfigurable Tiled-ALU Grid for RISC-V

Ali Emre Oztas, Can Erim Karsal, Mahir Demir +1

Lane-based RISC-V vector processors exploit data parallelism well but pay a recurring cost for two common patterns: reductions, which require a separate tree pass, and deep depende…

cs.AR2026

DPU or GPU for Accelerating Neural Networks Inference -- Why not both? Split CNN Inference

Ali Emre Oztas, Mahir Demir, James Garside +1

Video and image streaming on edge devices requires low latency. To address this, Neural Networks (NNs) are widely used, and prior work mainly focuses on accelerating them with sing…

cs.AI2024★ 2 cited

Agentic-HLS: An agentic reasoning based high-level synthesis system using large language models (AI for EDA workshop 2024)

Ali Emre Oztas, Mahdi Jelodari

Our aim for the ML Contest for Chip Design with HLS 2024 was to predict the validity, running latency in the form of cycle counts, utilization rate of BRAM (util-BRAM), utilization…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.