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Argobots: A lightweight low-level threading and tasking framework
In the past few decades, a number of user-level threading and tasking models have been
proposed in the literature to address the shortcomings of OS-level threads, primarily with …
proposed in the literature to address the shortcomings of OS-level threads, primarily with …
Understanding and optimizing persistent memory allocation
The proliferation of fast, dense, byte-addressable nonvolatile memory suggests that data
might be kept in pointer-rich" in-memory" format across program runs and even process and …
might be kept in pointer-rich" in-memory" format across program runs and even process and …
ScatterAlloc: Massively parallel dynamic memory allocation for the GPU
In this paper, we analyze the special requirements of a dynamic memory allocator that is
designed for massively parallel architectures such as Graphics Processing Units (GPUs) …
designed for massively parallel architectures such as Graphics Processing Units (GPUs) …
Constructing neuronal network models in massively parallel environments
T Ippen, JM Eppler, HE Plesser… - Frontiers in …, 2017 - frontiersin.org
Recent advances in the development of data structures to represent spiking neuron network
models enable us to exploit the complete memory of petascale computers for a single brain …
models enable us to exploit the complete memory of petascale computers for a single brain …
Releasing memory with optimistic access: A hybrid approach to memory reclamation and allocation in lock-free programs
Lock-free data structures are an important tool for the development of concurrent programs
as they provide scalability, low latency and avoid deadlocks, livelocks and priority inversion …
as they provide scalability, low latency and avoid deadlocks, livelocks and priority inversion …
Memory at your service: Fast memory allocation for latency-critical services
Co-location and memory sharing between latency-critical services, such as key-value store
and web search, and best-effort batch jobs is an appealing approach to improving memory …
and web search, and best-effort batch jobs is an appealing approach to improving memory …
SSMalloc: a low-latency, locality-conscious memory allocator with stable performance scalability
R Liu, H Chen - Proceedings of the Asia-Pacific Workshop on Systems, 2012 - dl.acm.org
Allocation latency, access locality and performance scalability are three key factors affecting
the efficiency of a memory allocator for many cores. However, many previous state-of-the-art …
the efficiency of a memory allocator for many cores. However, many previous state-of-the-art …
Register efficient dynamic memory allocator for GPUs
M Vinkler, V Havran - Computer Graphics Forum, 2015 - Wiley Online Library
We compare five existing dynamic memory allocators optimized for GPUs and show their
strengths and weaknesses. In the measurements, we use three generic evaluation tests …
strengths and weaknesses. In the measurements, we use three generic evaluation tests …
Performance implications of dynamic memory allocators on transactional memory systems
Although dynamic memory management accounts for a significant part of the execution time
on many modern software systems, its impact on the performance of transactional memory …
on many modern software systems, its impact on the performance of transactional memory …
Towards Efficient Cache Allocation for High-Frequency Checkpointing
While many HPC applications are known to have long runtimes, this is not always because
of single large runs: in many cases, this is due to ensembles composed of many short runs …
of single large runs: in many cases, this is due to ensembles composed of many short runs …