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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:scalio scaling up dpu based jbof key value store with nvme of target offload 8db39764 + (95cb33f656d804d6121bde4034eb5054c9972b1d3556d17c9888fe33d8c62e79)
- Lesson:scalio scaling up dpu based jbof key value store with nvme of target offload 8db39764 + (95cb33f656d804d6121bde4034eb5054c9972b1d3556d17c9888fe33d8c62e79)
- Lesson:scalio scaling up dpu based jbof key value store with nvme of target offload 8db39764 + (95cb33f656d804d6121bde4034eb5054c9972b1d3556d17c9888fe33d8c62e79)
- Lesson:exploiting gpus in virtual machine for biocloud b3cdd293 + (9660f6d73e1256bbb59b71743e5b969dbeb1779882375723ea0afc47626ae05b)
- Lesson:technical review exploiting gpus in virtual machine for biocloud 9e8875c0 + (9660f6d73e1256bbb59b71743e5b969dbeb1779882375723ea0afc47626ae05b)
- Lesson:technical review transparently bridging semantic gap in cpu management for virtualized environme ddf55f9b + (96e575f3cce196ba878fa5d098c1c50423cdd4090bdb9dbba588467fa314c7bb)
- Lesson:transparently bridging semantic gap in cpu management for virtualized environments 2485a772 + (96e575f3cce196ba878fa5d098c1c50423cdd4090bdb9dbba588467fa314c7bb)
- Lesson:transparently bridging semantic gap in cpu management for virtualized environments 2485a772 + (96e575f3cce196ba878fa5d098c1c50423cdd4090bdb9dbba588467fa314c7bb)
- Lesson:siloz leveraging dram isolation domains to prevent inter vm rowhammer 9d15762c + (973914abde32dff7d4feabff5ace2ca336106a619d3479202bec9d49447b45fd)
- Lesson:siloz leveraging dram isolation domains to prevent inter vm rowhammer 9d15762c + (973914abde32dff7d4feabff5ace2ca336106a619d3479202bec9d49447b45fd)
- Lesson:ugache a unified gpu cache for embedding based deep learning 227e7c8f + (973914abde32dff7d4feabff5ace2ca336106a619d3479202bec9d49447b45fd)
- Lesson:ugache a unified gpu cache for embedding based deep learning 227e7c8f + (973914abde32dff7d4feabff5ace2ca336106a619d3479202bec9d49447b45fd)
- Lesson:ugache a unified gpu cache for embedding based deep learning 227e7c8f + (973914abde32dff7d4feabff5ace2ca336106a619d3479202bec9d49447b45fd)
- Lesson:siloz leveraging dram isolation domains to prevent inter vm rowhammer 9d15762c + (973914abde32dff7d4feabff5ace2ca336106a619d3479202bec9d49447b45fd)
- Lesson:lesson 13ed6bae + (9af980ce4e547f14744a11574330cf685794f78c82fff7512b7730d1fd97a97c)
- Lesson:lesson 13ed6bae + (9af980ce4e547f14744a11574330cf685794f78c82fff7512b7730d1fd97a97c)
- Lesson:technical review bdff2f7c + (9af980ce4e547f14744a11574330cf685794f78c82fff7512b7730d1fd97a97c)
- Lesson:faasmem improving memory efficiency of serverless computing with memory pool architecture b6ab9eec + (9c41b746c5971a86438300771b1574b55ed9a4990d66aabe419c54207a0f3ba6)
- Lesson:faasmem improving memory efficiency of serverless computing with memory pool architecture b6ab9eec + (9c41b746c5971a86438300771b1574b55ed9a4990d66aabe419c54207a0f3ba6)
- Lesson:faasmem improving memory efficiency of serverless computing with memory pool architecture b6ab9eec + (9c41b746c5971a86438300771b1574b55ed9a4990d66aabe419c54207a0f3ba6)
- Lesson:calcspar a contract aware lsm store for cloud storage with low latency spikes accc7c9d + (9c91779595d092ed4e7f222ed44ec9a0cc25ecec2db7822505b483e605c0c78e)
- Lesson:calcspar a contract aware lsm store for cloud storage with low latency spikes accc7c9d + (9c91779595d092ed4e7f222ed44ec9a0cc25ecec2db7822505b483e605c0c78e)
- Lesson:calcspar a contract aware lsm store for cloud storage with low latency spikes accc7c9d + (9c91779595d092ed4e7f222ed44ec9a0cc25ecec2db7822505b483e605c0c78e)
- Lesson:nvme driven lazy cache coherence for immutable data with nvme over fabrics c19688e2 + (9e3244fcaa51b5f0b4839be58bc8c8f489e5689708859c14ed98340acf183e07)
- Lesson:nvme driven lazy cache coherence for immutable data with nvme over fabrics c19688e2 + (9e3244fcaa51b5f0b4839be58bc8c8f489e5689708859c14ed98340acf183e07)
- Lesson:technical review nvme driven lazy cache coherence for immutable data with nvme over fabrics 4d6bc037 + (9e3244fcaa51b5f0b4839be58bc8c8f489e5689708859c14ed98340acf183e07)
- Lesson:d2fq device direct fair queueing for nvme ssds 36293af6 + (9ea9d6be14bf4d24361ed45a604d4488f55b0f4a5fc4e656a4afcd5d95749877)
- Lesson:d2fq device direct fair queueing for nvme ssds 36293af6 + (9ea9d6be14bf4d24361ed45a604d4488f55b0f4a5fc4e656a4afcd5d95749877)
- Lesson:technical review d2fq device direct fair queueing for nvme ssds c60d73e1 + (9ea9d6be14bf4d24361ed45a604d4488f55b0f4a5fc4e656a4afcd5d95749877)
- Lesson:serverless in the wild characterizing and optimizing the serverless workload at a large cloud pr f2fa1121 + (9f5bbbb1d02cc748ec701165e7a0ff7f2449d6c8b89f0b876c430407f8270821)
- Lesson:pmr fast application response via parallel memory reclaim on mobile devices 4c59e491 + (a081b6e1c89ece7991edca19181a392b8a5ce26be78218f93b0ee2028f5b9a12)
- Lesson:pmr fast application response via parallel memory reclaim on mobile devices 4c59e491 + (a081b6e1c89ece7991edca19181a392b8a5ce26be78218f93b0ee2028f5b9a12)
- Lesson:pmr fast application response via parallel memory reclaim on mobile devices 4c59e491 + (a081b6e1c89ece7991edca19181a392b8a5ce26be78218f93b0ee2028f5b9a12)
- Lesson:characterizing mobile soc for accelerating heterogeneous llm inference 6b900bb7 + (a140f3572e510459b9eed5bf42d4e2096c4684fd4f1ee746960d6675661d1077)
- Lesson:constructing and analyzing the lsm compaction design space 1aa4ace5 + (a140f3572e510459b9eed5bf42d4e2096c4684fd4f1ee746960d6675661d1077)
- Lesson:rearchitecting buffered i o in the era of high bandwidth ssd 70b23de3 + (a140f3572e510459b9eed5bf42d4e2096c4684fd4f1ee746960d6675661d1077)
- Lesson:lithos an operating system for efficient machine learning on gpus 76d95512 + (a140f3572e510459b9eed5bf42d4e2096c4684fd4f1ee746960d6675661d1077)
- Lesson:pact a criticality first design for tiered memory 20db3445 + (a140f3572e510459b9eed5bf42d4e2096c4684fd4f1ee746960d6675661d1077)
- Lesson:efficient memory deduplication for mobile smart devices fa9b72e9 + (a1d5ca5e30f9af942a83757bca306152a00d40248bb51094ebe4ce2e39938d60)
- Lesson:loom efficient capture and querying of high frequency telemetry bbcbd611 + (a2bee80f7a6f71fff15c9a8cc599da0254079541731d585e1188ecaf9dd1e8a4)
- Lesson:loom efficient capture and querying of high frequency telemetry bbcbd611 + (a2bee80f7a6f71fff15c9a8cc599da0254079541731d585e1188ecaf9dd1e8a4)
- Lesson:technical review ufs a8ea798b + (a2cbc5e863354c80854fc8f6ca4448f66404150820d08abe7da48941a7149ce3)
- Lesson:ufs bbe26b78 + (a2cbc5e863354c80854fc8f6ca4448f66404150820d08abe7da48941a7149ce3)
- Lesson:ufs bbe26b78 + (a2cbc5e863354c80854fc8f6ca4448f66404150820d08abe7da48941a7149ce3)
- Lesson:citadel rethinking memory allocation to safeguard against inter domain rowhammer exploits 8fd39aca + (a3c0c720237cfaf8fdcf09fe1ff0ed522557aeb58750880d4562bce72073a5f3)
- Lesson:citadel rethinking memory allocation to safeguard against inter domain rowhammer exploits 8fd39aca + (a3c0c720237cfaf8fdcf09fe1ff0ed522557aeb58750880d4562bce72073a5f3)
- Lesson:citadel rethinking memory allocation to safeguard against inter domain rowhammer exploits 8fd39aca + (a3c0c720237cfaf8fdcf09fe1ff0ed522557aeb58750880d4562bce72073a5f3)
- Lesson:impress an importance informed multi tier prefix kv storage system for large language model infe 51b47015 + (a4246704c8d697c4adebf97396002fe3bf08a0ed9806e34f99f7d66003fc896c)
- Lesson:impress an importance informed multi tier prefix kv storage system for large language model infe 51b47015 + (a4246704c8d697c4adebf97396002fe3bf08a0ed9806e34f99f7d66003fc896c)
- Lesson:impress an importance informed multi tier prefix kv storage system for large language model infe 51b47015 + (a4246704c8d697c4adebf97396002fe3bf08a0ed9806e34f99f7d66003fc896c)
- Lesson:byteexpress a high performance and traffic efficient inline transfer of small payloads over nvme a7c01a49 + (a71b309299481eade86b099e9831dc07c19f85a095f939e2b06f75f38fc270ea)
- Lesson:byteexpress a high performance and traffic efficient inline transfer of small payloads over nvme a7c01a49 + (a71b309299481eade86b099e9831dc07c19f85a095f939e2b06f75f38fc270ea)
- Lesson:dlora dynamically orchestrating requests and adapters for lora llm serving 3827bfa3 + (a7b2afe04e9b07b5dcdd1e32d4eb4f09e03558bc85a3a9d92cd85f41f0c8c128)