Benchmarking, Analysis, and Optimization of Serverless Function Snapshots

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The increasing demand for computing power and the emergence of heterogeneous computing architectures have driven the exploration of innovative techniques to address current limitations in both the compute and memory subsystems. One such solution is the use ...

Computer systems rely heavily on abstraction to manage the exponential growth of complexity across hardware and software. Due to practical considerations of compatibility between components of these complex systems across generations, developers have favou ...

Virtual Memory (VM) is a critical programming abstraction that is widely used in various modern computing platforms. With the rise of datacenter computing and birth of planet-scale online services, the semantic and capacity requirements from memory have ev ...

Disaggregated memory can address resource provisioning inefficiencies in current datacenters. Multiple software runtimes for disaggregated memory have been proposed in an attempt to make disaggregated memory practical. These systems rely on the virtual mem ...

Computer systems designers are building cache hierarchies with higher capacity to capture the ever-increasing working sets of modern workloads. Cache hierarchies with higher capacity improve system performance but shift the performance bottleneck to addres ...

Database workloads have significantly evolved in the past twenty years. Traditional database systems that are mainly used to serve Online Transactional Processing (OLTP) workloads evolved into specialized database systems that are optimized for particular ...

Programming languages and systems have failed to address the security implications of the increasingly frequent use of public libraries to construct modern software. Most languages provide tools and online repositories to publish, import, and use libraries ...

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 ...

With explosive growth in dataset sizes and increasing machine memory capacities, per-application memory footprints are commonly reaching into hundreds of GBs. Such huge datasets pressure the TLB, resulting in frequent misses that must be resolved through a ...

Control-Flow Hijacking attacks are the dominant attack vector against C/C++ programs. Control-Flow Integrity (CFI) solutions mitigate these attacks on the forward edge, i.e., indirect calls through function pointers and virtual calls. Protecting the backwa ...

Despite the high costs of acquisition and maintenance of modern data centers, machine resource utilization is often low. Servers running online interactive services are over-provisioned to support peak load (which only occurs for a fraction of the time), d ...

Cloud Computing aims to efficiently tackle the increasing demand of computing resources, and its popularity has led to a dramatic increase in the number of computing servers and data centers worldwide. However, as effect of post-Dennard scaling, computing ...

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 ...

In recent years there have been multiple successful attempts tackling document processing problems separately by designing task specific hand-tuned strategies. We argue that the diversity of historical document processing tasks prohibits to solve them one ...

Virtual memory (VM) is a crucial abstraction in modern computer systems at any scale, from handheld devices to datacenters. VM provides programmers the illusion of an always sufficiently large and linear memory, making programming easier. Although the core ...

Memory and logic integration on the same chip is becoming increasingly cost effective, creating the opportunity to offload data-intensive functionality to processing units placed inside memory chips. The introduction of memory-side processing units (MPUs) ...

We address delay faults: faults that cause a software component to take more time for completing an action than a given deadline. Such faults are particularly of interest in real- time mission-critical control applications that use general-purpose computin ...

Even though main memory is becoming large enough to fit most OLTP databases, it may not always be the best option. OLTP workloads typically exhibit skewed access patterns where some records are hot (frequently accessed) but many records are cold (infrequen ...

We present the disambiguation canvas, a technique developed for easy, accurate and fast selection of small objects and objects inside cluttered virtual environments. Disambiguation canvas rely on selection by progressive refinement, it uses a mobile device ...

When it comes to performance, embedded systems share many problems with their higher-end counterparts. The growing gap between top processor frequency and memory access speed, the memory wall, is one such problem. Driven, in part, by low energy consumption ...

Benchmarking, Analysis, and Optimization of Serverless Function Snapshots

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Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads

Secure Interface Design Leveraging Hardware/Software Support

Rebooting Virtual Memory with Midgard

Rethinking Software Runtimes for Disaggregated Memory

Rebooting Virtual Memory with Midgard

Micro-architectural Analysis of Database Workloads

Enclosure: Language-Based Restriction of Untrusted Libraries

Distributed Computing with Modern Shared Memory

Prefetched Address Translation

SoK: Shining Light on Shadow Stacks

Efficient Workload Colocation in Modern Data Centers

Energy Proportionality in Near-Threshold Computing Servers and Cloud Data Centers: Consolidating or Not?

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

dhSegment: A generic deep-learning approach for document segmentation

Near-Memory Address Translation

Near-Memory Address Translation

Axo: Tolerating Delay Faults in Real-Time Systems

Enabling efficient OS paging for main-memory OLTP databases

Disambiguation Canvas: A Precise Selection Technique for Virtual Environments

Architectural Support for Coherent Architecturally Visible Storage in Instruction Set Extensions