PLP: Page Latch-free Shared-everything OLTP

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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 ...

As modern data pipelines continue to collect, produce, and store a variety of data formats, extracting and combining value from traditional and context-rich sources such as strings, text, video, audio, and logs becomes a manual process where such formats a ...

In this thesis, we investigate the inverse problem of trees and barcodes from a combinatorial, geometric, probabilistic and statistical point of view. Computing the persistent homology of a merge tree yields a barcode B. Reconstructing a tree from B invol ...

Techniques and solutions are provided for performing adaptive database table placement in a non-uniform memory access (NUMA) architecture. The adaptive table placement can occur in response to changing workloads on the NUMA nodes. For example, if a particu ...

Interfaces between peptides and metallic surfaces are the subject of great interest for possible use in technological and medicinal applications, mainly since organic systems present an extensive range of functionalities, are abundant, cheap, and exhibit l ...

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 ...

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 ...

Decision trees have been widely used as classifiers in many machine learning applications thanks to their lightweight and interpretable decision process. This paper introduces Tree in Tree decision graph (TnT), a framework that extends the conventional dec ...

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 ...

The research community has been making significant progress in hardware implementation, numerical computing and algorithm development for optimization-based control. However, there are two key challenges that still have to be overcome for optimization-base ...

A method for optimizing memory access for database operations is provided. The method may include identifying an access pattern associated with a database operation. The access pattern may include data required to perform the database operation. One or mor ...

Ecological surveys increasingly rely on large‐scale image datasets, typically terabytes of imagery for a single survey. The ability to collect this volume of data allows surveys of unprecedented scale, at the cost of expansive volumes of photo‐interpretati ...

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 ...

Modern applications accumulate data at an exponentially increasing rate and traditional database systems struggle to keep up. Decision support systems used in industry, rely heavily on data analysis, and require real-time responses irrespective of data siz ...

Technology and energy saving potentials in the industrial sector are key data that policy-makers rely on to drive decision-making. A literature review reveals a distinct discrepancy between general potential estimation and detailed design studies. The form ...

Remote Direct Memory Access (RDMA) is a technology that allows direct access from the network to a machine's main memory without involving its CPU. RDMA offers low-latency, high-bandwidth performance and low CPU utilization. While RDMA provides massive per ...

We propose an online algorithm for sequential learning in the contextual multiarmed bandit setting. Our approach is to partition the context space and, then, optimally combine all of the possible mappings between the partition regions and the set of bandit ...

Database systems access memory either sequentially or randomly. Contrary to sequential access and despite the extensive efforts of computer architects, compiler writers, and system builders, random access to data larger than the processor cache has been s ...

Despite commonly reported potentials for emission reduction and efficiency increase, industrial heat pumps have yet to reach wide-scale employment in non-refrigeration appli- cations. The bottlenecks are identified as a general scepticism from process oper ...

PLP: Page Latch-free Shared-everything OLTP

Chattez avec Graph Search

Secure Interface Design Leveraging Hardware/Software Support

Rebooting Virtual Memory with Midgard

Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics

From Trees to Barcodes and Back Again: A Combinatorial, Probabilistic and Geometric Study of a Topological Inverse Problem

Adaptive table placement in NUMA architectures

Characterization and prediction of peptide structures on inorganic surfaces

Micro-architectural Analysis of Database Workloads

Rebooting Virtual Memory with Midgard

Tree in Tree: from Decision trees to Decision Graphs

Rethinking Software Runtimes for Disaggregated Memory

Optimization Methods for Control: From Embedded Programmable Hardware to Data-Driven Process Optimization

Access pattern based optimization of memory access

AIDE: Accelerating image‐based ecological surveys with interactive machine learning

Prefetched Address Translation

Timely and cost-efficient data exploration through adaptive tuning

Bottom-up method for potential estimation of energy saving measures

Pythia: Remote Oracles for the Masses

Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures

Improving Main-memory Database System Performance through Cooperative Multitasking

Online parallel coordinates tool for optimal utility design in the dairy industry