
Innovative storage solution enhancing cost-efficiency and performance of SSDs through adaptive zoning, offering improved throughput and reduced latency for applications like RocksDB.

Explores Karma, a novel resource allocation algorithm extending max-min fairness for dynamic user demands, ensuring efficiency, strategy-proofness, and fairness in systems with fluctuating resource needs.

Innovative heap overflow detection technique using page protection and pointer tagging, offering low-cost security for C/C++ programs with minimal performance impact.

Explore Meta's Conveyor, a universal software deployment tool managing 30,000+ pipelines across millions of machines, featuring automated deployments, safe updates, and ML model deployment capabilities.

Explore LVMT, a novel blockchain storage solution that significantly improves performance by reducing I/O amplifications and enhancing authenticated storage access efficiency.

Innovative block-based work stealing technique for parallel processing, improving performance and reducing interference in multicore systems. Formally verified and optimized for weak memory models.

Innovative system design accelerating graph neural networks on multi-GPU platforms through fine-grained computation-communication pipelining, outperforming existing frameworks.

Innovative hardware management techniques for tiered memory systems, demonstrating superior performance by eliminating cache conflicts through low-overhead methods at page allocation time.

Introduces HEDB, a novel encrypted database system that prevents smuggle attacks while maintaining database functionality. Balances security and maintainability through dual-mode design.

Explore ScaleDB, a high-performance in-memory database that enhances scalability through asynchronous range index updates, offering improved throughput for multi-core systems.

Extensible framework for confidential cloud computing, addressing privacy concerns through hypervisor-level instrumentation, enabling monitoring of enclave-OS interactions and implementation of protected services.

Discover a novel technique for pinpointing root causes of performance issues through relational debugging, offering efficient diagnosis with minimal executions.

Optimizing tensor programs for deep neural networks using derivation-based transformations, outperforming existing optimizers by leveraging a larger search space and automatically creating new operators.

Explore AlpaServe, a novel system for efficient deep learning model serving using statistical multiplexing and model parallelism to handle bursty workloads and improve request processing rates.

Innovative datacenter stack enabling servers with failed components to continue hosting VMs, reducing repair needs by 50-60% without impacting performance or scheduling in cloud platforms.

Discover Scalene: a precise, low-overhead profiler for Python that tracks CPU, memory, and GPU usage. Learn how it helps optimize code and pinpoint performance bottlenecks.

Comprehensive study of off-path SmartNIC performance, exploring communication paths and proposing optimization strategies for distributed systems. Demonstrates significant improvements in file system and key-value store applications.

Explore K9db, a MySQL-compatible database designed for automatic GDPR compliance. Learn how it simplifies data privacy management through explicit ownership and sharing semantics.

Explore MITOSIS, a novel OS primitive enabling rapid remote container initialization for serverless platforms, reducing function latency and memory usage while improving state transfer in serverless workflows.

Innovative spinlock method for multi-core processors, minimizing communication costs and achieving bounded waiting time through one-way circular routing, improving performance in both user and kernel spaces.

Innovative concurrency control technique for datastores that leverages natural consistency to achieve minimal costs while guaranteeing strict serializability, avoiding common pitfalls and optimizing performance.