InfoQ Homepage Memory Content on InfoQ
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Caching Beyond RAM: The Case for NVMe
Alan Kasindorf explores the possibility of using new storage devices to reduce DRAM dependency for cache workloads and talks about use cases that optimize for different cache workloads.
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Software Design for Persistent Memory Systems
Howard Chu talks about both naive approaches to leveraging NVRAM, and reasons to avoid those approaches, as well as optimal, proven methods for building systems around persistent memory.
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Rethinking Applications for the NVM Era
Amitabha Roy discusses how to re-architect software to take advantage of the advances of hardware today and how to write software in the future when DRAM is persistent.
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Understanding Python Memory at Instagram
Min Ni discusses how Python memory profiling is done at Instagram, insights from memory profiling data, and learnings from tuning and improving Python memory garbage collection.
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In-Memory Caching: Curb Tail Latency with Pelikan
Yao Yue introduces Pelikan - a framework to implement distributed caches such as Memcached and Redis. She discusses the system aspects that are important to the performance of such services.
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HotSpot under the Hood
Alex Blewitt presents how HotSpot represents Java objects in memory, how bytecode is compiled into native code to gain the fastest execution time, and how data structures have changed over time.
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Understanding Hardware Transactional Memory
Gil Tene talks about new speculative and optimistic locking mechanisms enabled by HTM (Hardware Transactional Memory), HTM's benefits and limitations, speculating on its future impact on concurrency.
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How Will Persistent Memory Change Software Design?
Maciej Maciejewski discusses persistent memory, storage devices, and DRAM, accessing persistent memory with ACPI 6.0 extensions, existing support in the Linux kernel and the NVM library.
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Understanding Hardware Transactional Memory
Gil Tene explores the underlying mechanics that power HTM on current platforms, focusing on things developers need to understand when contemplating the use of HTM in new and existing code.
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The Lightning Memory-mapped Database
Howard Chu discusses the Lightning Memory-Mapped Database (LMDB) design and architecture, and its impact on other projects such as OpenLDAP.
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Building Highly Scalable Spring Applications with In-memory Distributed Data Grids
John Blum and Luke Shannon introduce Pivotal GemFire along with the open source offering, Apache Geode. They demonstrate how to effectively build highly scalable applications with GemFire/Apache.
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Data Structure Adventures
Joseph Blomstedt presents ongoing work to build a new set of high performance data structures for Erlang, including both single process data structures as well as various concurrent data structures.
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