
Explore Java's Vector API for SIMD-based parallel computing, boosting performance through CPU optimization. Learn creation, manipulation, and efficient use of vectors for various computations.

Explore ScyllaDB's shard-per-core architecture and Seastar framework, learning how modern database design optimizes performance, scalability, and resource utilization in server technology.

Explore gaming's evolution, real-world applications, and future potential. Gain insights into virtual worlds, technological advancements, and entrepreneurial opportunities in this rapidly expanding industry.

Explore open source innovations in edge computing, IoT, and connected cars with insights from industry experts at the Open Source Forum 2019.

Explore building open-source software on ARM64 and ppc64le architectures, covering CICD pipelines, platform support, and technical challenges for developers.

Explore advanced HTTP/2 traffic tracing techniques using gRPC tapping filter, enhanced with hardware acceleration for improved performance in microservice architectures.

Explore the advantages of learning diverse programming languages, focusing on APL's array processing and functional paradigm, to enhance overall coding skills and adapt to modern hardware trends.

Explore cutting-edge techniques for controlling chaos through edge computing hardware, presented by a leading expert from The Ohio State University.

Explore the rapid evolution of memory technologies and their impact on computing architecture, from CXL and HBM to emerging solutions like MRAM and Processing in Memory, shaping the future of AI and data processing.

Explore the latest developments in Computational Storage standards, including SNIA and NVMe specifications, architecture models, programming interfaces, and terminology alignment between different standards organizations.

Discover how to leverage Computational Storage APIs for near-data processing, optimizing resource usage and overcoming traditional CPU architecture limitations in cloud and edge computing applications.

Dive into advanced programming techniques for Persistent Memory and CXL mem through hands-on instruction and practical implementation strategies for storage development.

Discover how hardware-accelerated data integrity checks on Computational Storage Devices enhance performance, reduce data transfer overhead, and enable scalable storage solutions through practical demonstrations.

Delve into computational storage standards development, exploring architecture, programming models, and API alignments between SNIA and NVMe specifications, with focus on terminology and compatibility.

Explore UCIe open standard for package-level innovations, covering key metrics, adoption criteria, and usage models for high-performance computing and heterogeneous processing integration.

Discover how hardware acceleration enhances encryption and decryption in SSD storage systems using RISC-V architecture, improving throughput and power efficiency through configurable design implementations.

Explore advanced Serial Attached SCSI (SAS) features, including 24G SAS technology, enhanced bandwidth capabilities, error correction, and system-level management for improved storage performance and reliability.

Explore the latest enhancements to SNIA's Computational Storage standards, focusing on security, command sequencing, and API clarifications for improved implementation and understanding.

Explore VMware's memory innovations journey, from persistent memory to CXL technology, focusing on performance improvements, TCO reduction, and real-world applications in mission-critical databases and AI/ML workloads.

Explore how computational storage enhances HPC systems for simulation science, focusing on improved efficiency, transparent implementation, and real-world applications for petabyte-scale datasets.

Explore the evolution of computer architecture from storage perspective, covering advances from von Neumann to modern computational storage and CXL technology.