Lock-Unlock: Is That All? A Pragmatic Analysis of Locking in Software Systems

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Verification and testing of hardware heavily relies on cycle-accurate simulation of RTL. As single-processor performance is growing only slowly, conventional, single-threaded RTL simulation is becoming impractical for increasingly complex chip designs and ...

A frequency scaling governor is critical for the performance management of cloud servers, as it enhances energy efficiency and helps to control operational temperatures, thereby ensuring system reliability. However, our in-depth analysis of the application ...

Federated learning (FL) is a privacy-preserving collaboratively machine learning paradigm. Traditional FL requires all data owners (a.k.a. FL clients) to train the same local model. This design is not well-suited for scenarios involving data and/or system ...

The demise of Moore's Law and Dennard scaling has resulted in diminishing performance gains for general-purpose processors, and so has prompted a surge in academic and commercial interest for hardware accelerators. Specialized hardware has already redefine ...

Key-Value Stores (KVS) are foundational infrastructure components for online services. Due to their latency-critical nature, today’s best-performing KVS contain a plethora of full-stack optimizations commonly targeting read-mostly, popularity-skewed worklo ...

The hardware complexity of modern machines makes the design of adequate programming models crucial for jointly ensuring performance, portability, and productivity in high-performance computing (HPC). Sequential task-based programming models paired with adv ...

Recent advances in computational neuroscience have demonstrated the usefulness and importance of stochastic, spatial reaction-diffusion simulations. However, ever increasing model complexity renders traditional serial solvers, as well as naive parallel imp ...

Atomic lock-free multi-word compare-and-swap (MCAS) is a powerful tool for designing concurrent algorithms. Yet, its widespread usage has been limited because lock-free implementations of MCAS make heavy use of expensive compare-and-swap (CAS) instructions ...

Systems and method for a task scheduler with dynamic adjustment of concurrency levels and task granularity are disclosed for improved execution of highly concurrent analytical and transactional systems. The task scheduler can avoid both over commitment and ...

Modern large-scale data platforms manage colossal amount of data, generated by the ever-increasing number of concurrent users. Geo-replicated and sharded key-value data stores play a central role when building such platforms. As the strongest consistency m ...

In this thesis, we revisit classic problems in shared-memory distributed computing through the lenses of (1) emerging hardware technologies and (2) changing requirements. Our contributions consist, on the one hand, in providing a better understanding of th ...

A persistent transactional memory (PTM) library provides an easy-to-use interface to programmers for using byte-addressable non-volatile memory (NVM). Previously proposed PTMs have, so far, been blocking. We present OneFile, the first wait-free PTM with in ...

Geo-replicated data platforms are at the backbone of several large-scale online services. Transactional Causal Consistency (TCC) is an attractive consistency level for building such platforms. TCC avoids many anomalies of eventual consistency, eschews the ...

Geo-replicated data platforms are the backbone of several large-scale online services. Transactional Causal Consistency (TCC) is an attractive consistency level for building such platforms. TCC avoids many anomalies of eventual consistency, eschews the syn ...

As hardware evolves, so do the needs of applications. To increase the performance of an application, there exist two well-known approaches. These are scaling up an application, using a larger multi-core platform, or scaling out, by distributing work to mul ...

Our work addresses the problem of placement of threads, or virtual cores, onto physical cores in a multicore NUMA system. Different placements result in varying degrees of contention for shared resources, so choosing the right placement can have a large ef ...

Non-volatile RAM (NVRAM) makes it possible for data structures to tolerate transient failures, assuming however that programmers have designed these structures such that their consistency is preserved upon recovery. Previous ap- proaches are typically tran ...

Transactional memory is a promising way for implementing efficient synchronization mechanisms for multicore processors. Intel's introduction of hardware transactional memory (HTM) into their Haswell line of processors marks an important step toward mainstr ...

The increase in the number of cores in processors has been an important trend over the past decade. In order to be able to efficiently use such architectures, modern software must be scalable: performance should increase proportionally to the number of all ...

Lock-Unlock: Is That All? A Pragmatic Analysis of Locking in Software Systems

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Highly Parallel RTL Simulation

Is the powersave governor really saving power?

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning

Building Chips Faster: Hardware-Compiler Co-Design for Accelerated RTL Simulation

Cooperative Concurrency Control for Write-Intensive Key-Value Workloads

Decentralized in-order execution of a sequential task-based code for shared-memory architectures

STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale

Efficient Multi-Word Compare and Swap

Task scheduling for highly concurrent analytical and transaction workloads

Efficient Protocols for Enforcing Causal Consistency in Geo-Replicated Key-Value Data Stores

Distributed Computing with Modern Shared Memory

OneFile: A Wait-free Persistent Transactional Memory

PaRiS: Causally Consistent Transactions with Non-blocking Reads and Partial Replication

PaRiS: Causally Consistent Transactions with Non-blocking Reads and Partial Replication

Scalable Synchronization in Shared-Memory Systems: Extrapolating, Adapting, Tuning

Placement of Virtual Containers on NUMA systems: A Practical and Comprehensive Model

Log-Free Concurrent Data Structures

Applying HTM to an OLTP System: No Free Lunch

Log-Free Concurrent Data Structures

Universally Scalable Concurrent Data Structures