속성으로 검색
이 문서는 속성과 이름이 지정된 값으로 설명된 개체를 찾기 위한 간단한 탐색 인터페이스를 제공합니다. 그 밖에 사용 가능한 검색 인터페이스에는 문서 속성 검색 및 Ask 쿼리 빌더가 있습니다.
결과 목록
- Lesson:fully harnessing the performance potential of dram less mobile flash storage ff995292 + (5183fdd73b9f3fb421d7a918e5dd7289a16fd08e7075737cbc91a61b02335c58)
- Lesson:development of behavior profilers for multimedia consumer electronics 6a76ba00 + (5190d825a87a3de836f1db9c6038833b7c6bd38afd0cdfe1cc1e2a0d0eba37c8)
- Lesson:cache scheme of shared buffer mappings for energy efficiency of mobile devices 4b6db791 + (519666494a90cc3088c0dd314d19b19858e2f3354eb2a49f98046bcf762ccf5c)
- Lesson:dflop a data driven framework for multimodal llm training pipeline optimization f26871c0 + (51ac62f74599fc18d58ff00fc000130911b57e02155dffc23e1744b00552fa9c)
- Lesson:exploiting asymmetric cpu performance for fast startup of subsystem in mobile smart devices c00616ec + (51cc6ff77713b5f22e8e0adaeee90e94d1afb3021a208b49988ba5cc0fefa620)
- Lesson:a comprehensive analysis of superpage management mechanisms and policies c34f2dbd + (5226b274f5ca7958d8907518e95f293882b2a986e34bc68c216fe9f9d7ca5be1)
- Lesson:mitigating resource usage dependency in sorting based kv stores on hybrid storage devices via op 31cbb8ad + (5293b55e63766fbbf52ac0de4d3e50f29c3cb73cb9adf109c8e3d6853a426dcd)
- Lesson:technical review catching two rabbits adaptive real time support for embedded linux 07b12680 + (52dec913924377a4a1c73870e2c36241df151382ad5f6612df648df30638ff11)
- Lesson:fleetio managing multi tenant cloud storage with multi agent reinforcement learning 714ca9fb + (52e63f8a3504082e0c06ae3dcbabbba958a6f9f38499f3e0d03ccbea4ecc5c07)
- Lesson:byteexpress a high performance and traffic efficient inline transfer of small payloads over nvme a7c01a49 + (53326b876ea1cfb2c9eb0395d6965df48307024ecb35479012754f03a47bcb7f)
- Lesson:agile lightweight and efficient asynchronous gpu ssd integration e7527db8 + (534ce4b030755cbe587daa470e96ea13ada94471eab40a341f310f702bf6c0c8)
- Lesson:lesson 0960532f + (53921113ff68426d1da0b2f5ed9399efa3cc8f43bdf7a4fea5a6f4a282013a3d)
- Lesson:fast on device llm inference with npus deecd917 + (53d2ff886e3f9b6d82a28698614b19ea2c28bb701de423b0516343ccb6dbbbc0)
- Lesson:request aware cooperative i o scheduling for scale out database applications 25327d2c + (541de29d28a4597ad55090bf13309c4c437a9bef5bc1c62ae1693b0cf257858e)
- Lesson:request aware cooperative i o scheduling for scale out database applications 25327d2c + (541de29d28a4597ad55090bf13309c4c437a9bef5bc1c62ae1693b0cf257858e)
- Lesson:kvaccel a novel write accelerator for lsm tree based kv stores with host ssd collaboration 968f5966 + (5473eedc1d730ea93176bc3973d4ea298f525a68e7ff7c2941f77c641f75d361)
- Lesson:fast flexible and practical kernel extensions 9eb8897f + (5486296e9ec1cb61e58c9c4c0941e85bf1e71445563394b47661ec98bc22390e)
- Lesson:lithos an operating system for efficient machine learning on gpus 76d95512 + (54af7f2e81b4cfd9f3254418956af726550a69b8a11b0d17b3b5e829335d329b)
- Lesson:emt an os framework for new memory translation architectures 6d3356f6 + (54cc1711602bc67438ca49884edcae7024872aecfd608d92b42a7e2562ae39e8)
- Lesson:sti turbocharge nlp inference at the edge via elastic pipelining 99bb4c50 + (5514ed4a42a7cc2161b0f31e2707052cc63a45a360a648137746d6fcdb2087a0)
- Lesson:twinpilots a new computing paradigm for gpu cpu parallel llm inference aa39d085 + (5565624d74a00dafb0af61829fe7a3f22b83573aaf3af9d82f25290fa6b68657)
- Lesson:asynchrony and gpus bridging this dichotomy for i o with agio 6fab41bf + (55e58eb9aeb5b9481fc8bb4ecff3678248edf23926be0a8a726e4479169024e6)
- Lesson:specinfer accelerating generative large language model serving with tree based speculative infer e609aa25 + (56027e6a59046b17de03ce7f3dfea75f358adbdefbd31814d686249910f9fcfb)
- Lesson:the cost of dynamic reasoning demystifying ai agents and test time scaling from an ai infrastruc 6d6dff58 + (56a1aedfc8f5860c6ca1f7941a63f8f11739415bbd472079b26f9b1ae374bbc3)
- Lesson:pruneoff offloading lsm read path pruning in disaggregated key value stores f03d7e8e + (56d62cb4279ee202ba45a6c7f66c5eaca04456e6462e758b4810600cf1646d93)
- Lesson:halfmoon log optimal fault tolerant stateful serverless computing e44c470a + (57b93aaf8d9daf15e73ead3a92249dc3357c203b70da0ce143cafc3c8ff19faf)
- Lesson:efficient function call tracing with link time binary rewriting for ce devices 0fd13b41 + (5810e7a16b4e9a3a6f9378df5b148e4ed676db58700d938d2bdaac99f02063f4)
- Lesson:characterizing mobile soc for accelerating heterogeneous llm inference 6b900bb7 + (587b8c417dc33053b9e977bca53c654ae2809ff2e30ef92a31f698a62ad93328)
- Lesson:characterizing mobile soc for accelerating heterogeneous llm inference 6b900bb7 + (587b8c417dc33053b9e977bca53c654ae2809ff2e30ef92a31f698a62ad93328)
- Lesson:characterizing mobile soc for accelerating heterogeneous llm inference 6b900bb7 + (587b8c417dc33053b9e977bca53c654ae2809ff2e30ef92a31f698a62ad93328)
- Lesson:i o passthru upstreaming a flexible and efficient i o path in linux 7b568465 + (59744184f618387cdeae1c6382a14df982884b3293807113c57cab4ae6d42c5a)
- Lesson:fully harnessing the performance potential of dram less mobile flash storage ff995292 + (5a152b7d6efe6843888cac352d241ef34ead24c1553d28017a7ce3b15bb394c9)
- Lesson:unfaasner latency and cost aware offloading of functions from serverless platforms bc32c3a4 + (5a2c5517ea1a2ac5186b29b18c2f1fd54e404986b6257b4c7848820f3c65e9dc)
- Lesson:agile lightweight and efficient asynchronous gpu ssd integration e7527db8 + (5a63d5b86586197ea97ff9b204e5f1702bf8fa0cc4058fe3d557861aef90b269)
- Lesson:technical review development of behavior profilers for multimedia consumer electronics f30d374c + (5a7faba30190c2b62bfda1c1742c528fb579cfbd7e44a16de49842628cf627cb)
- Lesson:exoflow a universal workflow system for exactly once dags d9d62c90 + (5b0e16f7da9d9df6c55e349fd6474176d51f95b178a5ec6c3274eae8a5ad28fd)
- Lesson:pvm efficient shadow paging for deploying secure containers in cloud native environment 7fee6654 + (5b1bdca8f22bb4fe4e61242984735d173288a0d113b1934639c9c5973d561f9f)
- Lesson:serverless in the wild characterizing and optimizing the serverless workload at a large cloud pr f2fa1121 + (5b4c49b0ba15a242aae5a6426fc430281267d25a778e881bbe274f9691d69ef7)
- Lesson:emt an os framework for new memory translation architectures 6d3356f6 + (5b743cca7bb36f6aecdf6c720b8612b79a9cac2d165eeea5649485e91063d04e)
- Lesson:enabling high performance and secure userspace nvm file systems with the trio architecture d59d00b6 + (5c1739716c3091fd0be14510637f4b747f19e3a5cb56d4e25594e8e2a9f5aa58)
- Lesson:technical review asap fast mobile application switch via adaptive prepaging 3ea3e879 + (5c379be2345247f40abf67acaa1f0445b299e4fe8f82f16f23a85ebb86f3978c)
- Lesson:technical review asap fast mobile application switch via adaptive prepaging 3ea3e879 + (5c379be2345247f40abf67acaa1f0445b299e4fe8f82f16f23a85ebb86f3978c)
- Lesson:technical review beyond static policies dynamic prac for balanced and efficient rowhammer mitiga 185f5688 + (5c39e309a0be591665bc04f91abe7050bfe6480a4669542df5f6cdc2033b103d)
- Lesson:technical review scoz a system wide causal profiler for multicore systems 9ddaf48a + (5c40cf619c41275c0aa0164d549a9faa14fac45b7c2291dc42685a586c7b27d3)
- Lesson:technical review scoz a system wide causal profiler for multicore systems 9ddaf48a + (5c40cf619c41275c0aa0164d549a9faa14fac45b7c2291dc42685a586c7b27d3)
- Lesson:cold archives must materialize content addressed model files and cross a storage failure domain 03687d8e + (5c8b13b1ce20a4f3a0a981ca6aa4b11d1c56e8664f90df2bf82ba7373c3c4425)
- Lesson:cold archives must materialize content addressed model files and cross a storage failure domain 03687d8e + (5c8b13b1ce20a4f3a0a981ca6aa4b11d1c56e8664f90df2bf82ba7373c3c4425)
- Lesson:enlightening the i o path a holistic approach for application performance a3c2b020 + (5c9d9c9aedc14b4e1e57dedc8a334a61d8145efa5425f5edd0411c501b6fac85)
- Lesson:nvme bb91a49b + (5cd89ef0c3881c1656b7d4fa257a2b46e823dc6afa3fbf03bc735f9974928678)
- Lesson:siloz leveraging dram isolation domains to prevent inter vm rowhammer 9d15762c + (5d0955b026411d2a36a5138a4fbdd64895e2899612258f2229393fc6e8a6df89)
- Lesson:fast on device llm inference with npus deecd917 + (5dab486f66f1cb1c2f5399526b372c7ba10bbd7b917785a41af8350148d4b97a)