{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T06:09:13Z","timestamp":1758089353877,"version":"3.44.0"},"reference-count":12,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,22]],"date-time":"2025-06-22T00:00:00Z","timestamp":1750550400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,22]],"date-time":"2025-06-22T00:00:00Z","timestamp":1750550400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,22]]},"DOI":"10.1109\/dac63849.2025.11133108","type":"proceedings-article","created":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T17:35:41Z","timestamp":1757957741000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["Invited: SambaNova SN40L: Unleashing Agentic AI with Dataflow"],"prefix":"10.1109","author":[{"given":"Raghu","family":"Prabhakar","sequence":"first","affiliation":[{"name":"SambaNova Systems, Inc"}]},{"given":"Pushkar","family":"Nandkar","sequence":"additional","affiliation":[{"name":"SambaNova Systems, Inc"}]},{"given":"Darshan","family":"Gandhi","sequence":"additional","affiliation":[{"name":"SambaNova Systems, Inc"}]},{"given":"Nasim","family":"Farahini","sequence":"additional","affiliation":[{"name":"SambaNova Systems, Inc"}]},{"given":"Hakan","family":"Zeffer","sequence":"additional","affiliation":[{"name":"SambaNova Systems, Inc"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Kernel Looping: Eliminating Synchronization Boundaries for Peak Inference Performance","author":"Koeplinger","year":"2024","journal-title":"arXiv:2410.23668 [cs.CL]"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/isscc49661.2025.10904578"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO61859.2024.00100"},{"volume-title":"Artificial Analysis: Independent analysis of AI models and API providers","key":"ref6"},{"volume-title":"The Llama 3 Herd of Models","year":"2024","author":"Dubey","key":"ref7"},{"volume-title":"Llama4","key":"ref8"},{"volume-title":"arXiv:2412.19437v1 [cs.CL]","key":"ref9"},{"journal-title":"arXiv:2501.12948v1 [cs.CL]","article-title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","year":"2025","key":"ref10"},{"year":"2024","key":"ref11","article-title":"Reflect Deeply on the Boundaries of the Unknown"},{"journal-title":"arXiv:2201.11903 [cs.CL]","article-title":"Chain-of-Thought Prompting Elicits Reasoning in Large Language Models","author":"Wei","key":"ref12"},{"volume-title":"SN40L-16 Specifications","key":"ref13"},{"volume-title":"LLM Inference Best Practices","key":"ref14"}],"event":{"name":"2025 62nd ACM\/IEEE Design Automation Conference (DAC)","start":{"date-parts":[[2025,6,22]]},"location":"San Francisco, CA, USA","end":{"date-parts":[[2025,6,25]]}},"container-title":["2025 62nd ACM\/IEEE Design Automation Conference (DAC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11132383\/11132091\/11133108.pdf?arnumber=11133108","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T05:48:56Z","timestamp":1758001736000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11133108\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,22]]},"references-count":12,"URL":"https:\/\/doi.org\/10.1109\/dac63849.2025.11133108","relation":{},"subject":[],"published":{"date-parts":[[2025,6,22]]}}}