SANRAZOR - Reducing Redundant Sanitizer Checks in C-C++ Programs
Optimizing sanitizer performance in C/C++ programs by identifying and removing redundant checks, reducing runtime overhead while maintaining bug detection capabilities.
Prediction-Based Power Oversubscription in Cloud Platforms
Explore power oversubscription in cloud platforms using prediction-based techniques to optimize datacenter resources, increase efficiency, and minimize impact on critical workloads.
Zeph - Cryptographic Enforcement of End-to-End Data Privacy
Cryptographic system for enforcing user-defined privacy policies in real-time data analytics, ensuring compliance and protection against breaches while maintaining scalability and low latency.
Refurbish Your Training Data - Reusing Partially Augmented Samples for Faster Deep Neural Network Training
Innovative data refurbishing technique accelerates deep neural network training while maintaining model generalization by reusing partially augmented samples and optimizing CPU-GPU overlap.
Habitat - A Runtime-Based Computational Performance Predictor for Deep Neural Network Training
Explore a runtime-based technique for predicting GPU performance in deep neural network training, aiding cost-efficient hardware selection for researchers and practitioners.
ZeRO-Offload - Democratizing Billion-Scale Model Training
ZeRO-Offload: Enabling billion-scale model training on a single GPU by offloading data and compute to CPU, minimizing data movement, and optimizing efficiency. Scales to multiple GPUs and works with model parallelism.
SKQ - Event Scheduling for Optimizing Tail Latency in a Traditional OS Kernel
Explore SKQ, a FreeBSD Kqueue redesign that significantly improves application tail latency and low-latency throughput through scalable architecture and event scheduling policies.
Improving Performance of Flash Based Key-Value Stores Using Storage Class Memory as a Volatile Memory Extension
Explore using Storage Class Memory to enhance flash-based key-value stores' performance in data centers, focusing on RocksDB improvements and cost-effectiveness for large-scale applications.
A Linux Kernel Implementation of the Homa Transport Protocol
Explore Homa/Linux: a high-performance transport protocol outperforming TCP and DCTCP in latency and congestion control, with potential for further optimization through software overhead reduction.
MapperX - Adaptive Metadata Maintenance for Fast Crash Recovery of DM-Cache Based Hybrid Storage Devices
Explores MapperX, an extension to DM-cache that uses adaptive bit-trees for faster crash recovery in hybrid storage devices, balancing performance and data integrity.
Fair Scheduling for AVX2 and AVX-512 Workloads
Explore fair CPU scheduling for AVX2 and AVX-512 workloads, addressing power-limited CPUs and frequency reduction impacts. Learn techniques to improve performance isolation and fairness in multi-task environments.
SONIC - Application-Aware Data Passing for Chained Serverless Applications
Optimizes data passing in serverless workflows, adapting to dynamic factors for improved performance and cost-efficiency in analytics applications.
Exploring the Design Space of Page Management for Multi-Tiered Memory Systems
Explores page management strategies for multi-tiered memory systems, analyzing access locality and tier importance to optimize performance in DRAM and SCM configurations.
UniStore - A Fault-Tolerant Marriage of Causal and Strong Consistency
Explores a fault-tolerant data store combining causal and strong consistency for geo-distributed systems, addressing liveness challenges and optimizing durability costs in multi-consistency environments.
ZNS - Avoiding the Block Interface Tax for Flash-based SSDs
Explore Zoned Namespace SSDs: improved efficiency, higher throughput, and lower latency for flash storage. Learn about interface changes, software adaptations, and performance benefits in Linux and RocksDB.
Faastlane - Accelerating Function-as-a-Service Workflows
Accelerating FaaS workflows by executing functions as threads, providing lightweight isolation, and dynamically identifying parallelism opportunities to enhance performance and reduce latency.
ArchTM - Architecture-Aware, High Performance Transaction for Persistent Memory
Innovative architecture-aware transaction system for persistent memory, enhancing performance through strategic write management and memory allocation techniques.
The Good, the Bad and the Ugly - The 3 Learnings of an SRE
Explore core SRE principles, focusing on incident management, monitoring, and proactive approaches. Gain insights from a young engineer's journey transitioning from academia to industry.
Building Actionable Code Ownership
Discover Pinterest's scalable API ownership framework, designed to manage 1700+ endpoints across 70+ teams, addressing challenges and implementing effective solutions for large-scale code management.
Cobra - Making Transactional Key-Value Stores Verifiably Serializable
Explore techniques for verifying serializability in transactional key-value stores, focusing on Cobra's innovative approach to handling real-world workloads and improving verification efficiency.
Fast RDMA-based Ordered Key-Value Store Using Remote Learned Cache
Explores XSTORE, an RDMA-based key-value store using machine learning models as cache for tree-based indexes, improving performance and scalability while efficiently handling dynamic workloads and reducing client-side memory usage.