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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:machine validation receipts should be structurally unable to grant human acceptance 470a7c00  + (Machine validation receipts should be structurally unable to grant human acceptance)
• Lesson:managing gpu buffers for caching more apps in mobile systems afba2ee0  + (Managing GPU Buffers for Caching More Apps in Mobile Systems)
• Lesson:managing memory tiers with cxl in virtualized environments 357c7cc7  + (Managing Memory Tiers with CXL in Virtualized Environments)
• Lesson:shape adaptive attention negative 20260722  + (Measure dispatch headroom and graph-mode effects before building adaptive GPU kernel policies)
• Lesson:memsos os guided selective memory mirroring ac9aab48  + (MemSOS: OS-Guided Selective Memory Mirroring)
• Lesson:memory deduplication in mobile systems 063e8b2e  + (Memory Deduplication in Mobile Systems)
• Lesson:minflow high performance and cost efficient data passing for i o intensive stateful serverless a 886ce161  + (MinFlow: High-performance and Cost-efficient Data Passing for I/O-intensive Stateful Serverless Analytics)
• Lesson:mitigating application resource overload with targeted task cancellation 90270bf8  + (Mitigating Application Resource Overload with Targeted Task Cancellation)
• Lesson:mitigating resource usage dependency in sorting based kv stores on hybrid storage devices via op 31cbb8ad  + (Mitigating Resource Usage Dependency in Sorting-based KV Stores on Hybrid Storage Devices via Operation Decoupling)
• Lesson:moe lightning high throughput moe inference on memory constrained gpus e51b6b29  + (MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs)
• Lesson:nap natural app processing for predictive user contexts in mobile smartphones a3c20a54  + (NAP: Natural App Processing for Predictive User Contexts in Mobile Smartphones)
• Lesson:nomad non exclusive memory tiering via transactional page migration 3990fa86  + (NOMAD: Non-Exclusive Memory Tiering via Transactional Page Migration)
• Lesson:nvme prp zero copy 76cd53aa  + (NVMe PRP 오프셋을 이용한 Zero-copy 저장장치 읽기 기법)
• Lesson:nvme bb91a49b  + (NVMe 다중 큐를 이용한 공정 분배 입출력 스케줄링 연구)
• Lesson:nvme driven lazy cache coherence for immutable data with nvme over fabrics c19688e2  + (NVMe-Driven Lazy Cache Coherence for Immutable Data with NVMe over Fabrics)
• Lesson:nanoflow towards optimal large language model serving throughput f0633332  + (NanoFlow: Towards Optimal Large Language Model Serving Throughput)
• Lesson:dwkv doomed chase domino  + (Negative laxity를 최고 urgency로 clamp하면 doomed-request domino가 생긴다)
• Lesson:not a dpu in name only unleashing rdma capable dpus in multi tenant serverless clouds with nadin 7031318c  + (Not A DPU in Name Only! Unleashing RDMA-capable DPUs in Multi-Tenant Serverless Clouds with NADINO)
• Lesson:ozz identifying kernel out of order concurrency bugs with in vivo memory access reordering 0b85f639  + (OZZ: Identifying Kernel Out-of-Order Concurrency Bugs with In-Vivo Memory Access Reordering)
• Lesson:dwkv metric mismatch  + (Objective와 논문의 primary metric이 다르면 DW-KV의 승패 해석이 뒤집힌다)
• Lesson:omnicache collaborative caching for near storage accelerators 303fe963  + (OmniCache: Collaborative Caching for Near-storage Accelerators)
• Lesson:on performance stability in lsm based storage systems e473bf0c  + (On Performance Stability in LSM-based Storage Systems)
• Lesson:optimizing file systems on heterogeneous memory by integrating dram cache with virtual memory ma aaa7aa17  + (Optimizing File Systems on Heterogeneous Memory by Integrating DRAM Cache with Virtual Memory Management)
• Lesson:optimizing the startup time of embedded systems a case study of digital tv 7f9199bd  + (Optimizing the Startup Time of Embedded Systems: A Case Study of Digital TV)
• Lesson:orca a distributed serving system for transformer based generative models 6bd2fa60  + (Orca: A Distributed Serving System for Transformer-Based Generative Models)

• Lesson:overcoming the memory wall with cxl enabled ssds ef2155d6  + (Overcoming the Memory Wall with CXL-Enabled SSDs)

• Lesson:pact a criticality first design for tiered memory 20db3445  + (PACT: A Criticality-First Design for Tiered Memory)
• Lesson:papi exploiting dynamic parallelism in large language model decoding with a processing in memory 5f9f53cc  + (PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System)
• Lesson:pet proactive demotion for efficient tiered memory management e2185da3  + (PET: Proactive Demotion for Efficient Tiered Memory Management)
• Lesson:pit optimization of dynamic sparse deep learning models via permutation invariant transformation 48509ad0  + (PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation)
• Lesson:pmr fast application response via parallel memory reclaim on mobile devices 4c59e491  + (PMR: Fast Application Response via Parallel Memory Reclaim on Mobile Devices)
• Lesson:pod attention unlocking full prefill decode overlap for faster llm inference caae5b3e  + (POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference)
• Lesson:pvm efficient shadow paging for deploying secure containers in cloud native environment 7fee6654  + (PVM: Efficient Shadow Paging for Deploying Secure Containers in Cloud-native Environment)
• Lesson:pacar improved buffered i o locality on numa systems with page cache replication adc0c538  + (PaCaR: Improved Buffered I/O Locality on NUMA Systems with Page Cache Replication)
• Lesson:paella low latency model serving with software defined gpu scheduling 47b175ce  + (Paella: Low-latency Model Serving with Software-defined GPU Scheduling)
• Lesson:partial failure resilient memory management system for cxl based distributed shared memory 48948c1d  + (Partial Failure Resilient Memory Management System for (CXL-based) Distributed Shared Memory)
• Lesson:pegasus tolerating skewed workloads in distributed storage with in network coherence directories a4e8c8ec  + (Pegasus: Tolerating Skewed Workloads in Distributed Storage with In-Network Coherence Directories)
• Lesson:performance optimization of object tracking algorithms in opencv on gpus 8158d2ec  + (Performance Optimization of Object Tracking Algorithms in OpenCV on GPUs)
• Lesson:perseus a fail slow detection framework for cloud storage system 4e24f100  + (Perseus: A Fail-Slow Detection Framework for Cloud Storage Systems)
• Lesson:phasedrr read reclaim scheduling without page level access counting 69578f95  + (PhasedRR: Read Reclaim Scheduling without Page-level Access Counting)
• Lesson:polymorphic error correction 25fcf9e1  + (Polymorphic Error Correction)
• Lesson:power consumption prediction and power aware packing in consolidated environments 1bd70150  + (Power Consumption Prediction and Power-Aware Packing in Consolidated Environments)
• Lesson:predicting future system reliability with a component level dram fault model 1f248bb6  + (Predicting Future-System Reliability with a Component-Level DRAM Fault Model)
• Lesson:prism optimizing key value store for modern heterogeneous storage devices 7e879d0a  + (Prism: Optimizing Key-Value Store for Modern Heterogeneous Storage Devices)
• Lesson:pivot-b200-20260717-zmq-ipc-path-a01  + (Private executable TMPDIR exceeded the Unix socket path limit)
• Lesson:pruneoff offloading lsm read path pruning in disaggregated key value stores f03d7e8e  + (PruneOff: Offloading LSM Read-Path Pruning in Disaggregated Key-Value Stores)
• Lesson:rfuse modernizing userspace filesystem framework through scalable kernel userspace communication b3196db3  + (RFUSE: Modernizing Userspace Filesystem Framework through Scalable Kernel-Userspace Communication)
• Lesson:rl watchdog a fast and predictable ssd liveness watchdog on storage systems a9a43b61  + (RL-Watchdog: A Fast and Predictable SSD Liveness Watchdog on Storage Systems)
• Lesson:rearchitecting buffered i o in the era of high bandwidth ssd 70b23de3  + (Rearchitecting Buffered I/O in the Era of High-Bandwidth SSDs)
• Lesson:request oriented durable write caching for application performance 951bd722  + (Request-Oriented Durable Write Caching for Application Performance)
• Lesson:request aware cooperative i o scheduling for scale out database applications 25327d2c  + (Request-aware Cooperative I/O Scheduling for Scale-out Database Applications)