
Explore hardware enablement for Envoy, focusing on challenges and solutions using CryptoMb, QAT, and DLB contrib extensions as examples in service mesh acceleration.

Explore gRPC tapping filter optimization in service mesh, featuring streaming Grpc Sink and hardware-accelerated memory copy for improved performance and scalability in high-traffic microservice architectures.

Learn to develop high-performance cross-platform games using FXGL, a JavaFX game engine. Explore cutting-edge features and gain resources for creating games in Java and Kotlin.

Explore TornadoVM, a Java framework for heterogeneous computing on CPUs, GPUs, and FPGAs. Learn its API, compiler, and runtime system for optimized performance across diverse hardware.

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

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

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.

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 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.

Discover how Infrastructure Programming Units (IPUs) simplify storage orchestration by offloading complex workloads from compute nodes, improving efficiency and scalability in cloud environments.

Discover the journey of OpenGL driver development for Apple M1/M2, exploring hardware magic, conformance achievements, and the intricate code behind graphics acceleration.

Discover a unified solution for seamless application migration across diverse AI accelerators, enabling cross-architecture compilation and dynamic runtime adaptation without code modifications.

Delve into memory-to-memory data movement standardization through SNIA's SDXI specification, exploring acceleration techniques, use cases, and future developments for modern system architectures.

Explore the latest developments in Computational Storage, including deployment strategies, security considerations, and implementation guidelines from SNIA's Technical Work Group leadership.

Explore how computational storage revolutionizes file systems through real-world demonstrations of NVMe standards, ZFS acceleration, and distributed computational offloads near storage devices.

Master efficient machine learning techniques and optimization strategies for deploying ML models in resource-constrained environments, focusing on practical implementation methods.

Discover how Sokovan optimizes AI/ML workloads through intelligent container orchestration, featuring dual-layer scheduling and hardware acceleration integration for enhanced GPU computing performance.

Explore high-performance data protection techniques for NVMe/TCP using SPDK acceleration framework, comparing ISA-L and Intel DSA implementations for efficient data digest computation at 400 Gbps speeds.

Discover how IPDK enables vendor-agnostic storage virtualization and hardware acceleration, allowing standard drivers to access remote storage at scale while leveraging SmartNIC/DPU/IPU/xPU capabilities.

Discover how to accelerate ZFS performance using computational storage devices and DPUs, exploring hardware-software integration techniques that boost storage system efficiency by 10-30x.

Discover the latest developments in memory-to-memory data movement and acceleration through SNIA's SDXI standard, exploring use cases in AI and emerging technologies for enhanced data processing capabilities.