Publications related to Heap (data structure)

Capturing Types

Martin Odersky, Aleksander Slawomir Boruch-Gruszecki, Ondrej Lhoták

Type systems usually characterize the shape of values but not their free variables. However, many desirable safety properties could be guaranteed if one knew the free variables captured by values. We describe CC

New York2023

Sketches, metrics and fast algorithms

Navid Nouri

As it has become easier and cheaper to collect big datasets in the last few decades, designing efficient and low-cost algorithms for these datasets has attracted unprecedented attention. However, in most applications, even storing datasets as acquired has ...

EPFL2022

Detailed Heap Profiling

James Richard Larus, Stuart Anthony Byma

Modern software systems heavily use the memory heap. As systems grow more complex and compute with increasing amounts of data, it can be difficult for developers to understand how their programs actually use the bytes that they allocate on the heap and whe ...

ACM2018

Detailed heap profiling

James Richard Larus, Stuart Anthony Byma

Modern software systems heavily use the memory heap. As systems grow more complex and compute with increasing amounts of data, it can be difficult for developers to understand how their programs actually use the bytes that they allocate on the heap and whe ...

ACM2018

Log-Free Concurrent Data Structures

Rachid Guerraoui, Aleksandar Dragojevic, Mihail Igor Zablotchi, Tudor Alexandru David

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 ...

USENIX Association2018

Log-Free Concurrent Data Structures

Rachid Guerraoui, Aleksandar Dragojevic, Mihail Igor Zablotchi, Tudor Alexandru David

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 approaches are typically transa ...

USENIX ASSOC2018

Limitations of Partial Compaction: Towards Practical Bounds

Nachshon Cohen

Compaction of a managed heap is a costly operation to be avoided as much as possible in commercial runtimes. Instead, partial compaction is often used to defragment parts of the heap and avoid space blowup. Previous study of compaction limitation provided ...

Assoc Computing Machinery2017

Algorithmic Resource Verification

Ravichandhran Kandhadai Madhavan

Static estimation of resource utilisation of programs is a challenging and important problem with numerous applications. In this thesis, I present new algorithms that enable users to specify and verify their desired bounds on resource usage of functional p ...

EPFL2017

TRIAD: creating synergies between memory, disk and log in log structured key-value stores

Rachid Guerraoui, Willy Zwaenepoel, Diego Didona, Oana Maria Balmau

We present TRIAD, a new persistent key-value (KV) store based on Log-Structured Merge (LSM) trees. TRIAD improves LSM KV throughput by reducing the write amplification arising in the maintenance of the LSM tree structure. Although occurring in the backgrou ...

2017

ATraPos: Adaptive Transaction Processing on Hardware Islands

Anastasia Ailamaki, Pinar Tözün, Danica Porobic, Erietta Liarou

Nowadays, high-performance transaction processing applications increasingly run on multisocket multicore servers. Such architectures exhibit non-uniform memory access latency as well as non-uniform thread communication costs. Unfortunately, traditional sha ...

2014

Heap (data structure)

Capturing Types

Sketches, metrics and fast algorithms

Detailed Heap Profiling

Detailed heap profiling

Log-Free Concurrent Data Structures

Log-Free Concurrent Data Structures

Limitations of Partial Compaction: Towards Practical Bounds

Algorithmic Resource Verification

TRIAD: creating synergies between memory, disk and log in log structured key-value stores

ATraPos: Adaptive Transaction Processing on Hardware Islands

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Limitations of Partial Compaction: Towards Practical Bounds

Sketches, metrics and fast algorithms

Log-Free Concurrent Data Structures

Algorithmic Resource Verification

TRIAD: creating synergies between memory, disk and log in log structured key-value stores

Log-Free Concurrent Data Structures

ATraPos: Adaptive Transaction Processing on Hardware Islands