Database Consolidation With Persistent Memory
Discover how Exadata leverages Intel PMEM and RoCE 100Gbs infrastructure to accelerate OLTP and OLAP workloads, optimizing database performance and consolidation.
Future Exascale Architectures - IPAM at UCLA
Explore future exascale computing architectures and their applications in materials science, presented by Lawrence Livermore National Laboratory expert Erik Draeger at UCLA's IPAM.
New Ways to Garble Arithmetic Circuits
Explores innovative techniques for garbling arithmetic circuits, improving efficiency, modularity, and functionality. Presents constant-rate schemes for large integers and modular computation, with enhanced capabilities for mixed arithmetic-Boolean opera…
Journey to the Centre of the JVM - Exploring CPU Architecture and Memory Models
Explore CPU architecture, memory models, and JVM intrinsics through functional abstractions, unraveling a complex bug in Scala implementation across different hardware.
ITC Conference - Line Point Zero Knowledge and Its Applications
Explore line-point zero knowledge proofs, their efficiency in arithmetic circuit satisfiability, and applications in non-interactive secure computation and vector oblivious linear evaluation.
Designing Fast and Programmable Routers
Explore cutting-edge router design combining high performance and programmability. Learn about innovative primitives enabling line-rate programmable routers, including packet scheduling, stateful processing, and flow-based statistics measurement.
Systems & Networks Seminar - Andrew Bauman - Komodo: Using Verification to Disentangle Secure-Enclave Hardware from Software
Explores Komodo, an alternative to Intel SGX for secure enclaves, using verified software to implement isolated execution environments with improved flexibility and security guarantees.
Remoticon 2021 - Voja Antonic Builds a Microprocessor
Explore the journey from basic digital circuits to a functional theoretical microprocessor with veteran computer designer Voja Antonic in this engaging and informative presentation.
Keynote RISC-V and FPGAs - Open Source Hardware Hacking
Explore RISC-V, an open-source CPU architecture, and its impact on hardware hacking. Learn how it enables innovation in FPGAs and beyond, revolutionizing both academic research and the semiconductor industry.
NES Emulator - CPU 6502 Implementation - Part 2
Build a 6502 CPU emulator in C++, focusing on challenging instructions like ADC and SBC. Includes implementation of addressing modes, arithmetic operations, and a lightweight program analyzer.
Optimizing Data-Flow in Binary Neural Networks
Explore optimizing data flow in Binary Neural Networks, focusing on hardware efficiency, quantization techniques, and accuracy improvements for embedded systems.
State of the TinyAutoML Market - Keynote
Explore the emerging tinyAutoML market, its challenges, opportunities, and potential impact on IoT and edge computing. Gain insights from industry experts on automating tiny machine learning applications.
TinyML Talks - State of Hardware & Software Ecosystem for Low-Power ML Applications on RISC-V
Explore RISC-V's open ISA, hardware implementations, and software ecosystem for low-power ML applications. Learn about specifications, cores, boards, and opportunities in this evolving standard.
Sensing Applications as a Driver for TinyML Solutions
Explore intelligent MEMS applications in motion learning, sports analytics, and environmental sensing. Learn how domain knowledge optimizes TinyML for ultra-low power contexts and shapes emerging ecosystems.
Programmable In-Memory Computing Accelerator with 100 SRAM IMC Macros
Explore programmable in-memory computing accelerators for efficient deep neural network processing, featuring 100 SRAM IMC macros and innovative architecture design for improved energy efficiency.
Embedded Machine Learning in the Real World
Explore embedded ML applications, challenges, and opportunities in real-world scenarios, focusing on tiny models, accelerated hardware, and practical tooling.
What Can In-memory Computing Deliver and What Are the Barriers - tinyML Summit 2019
Explore in-memory computing's potential and challenges in tinyML, focusing on overcoming the memory wall, tradeoffs, and future developments in charge-domain analog computation.
Visual AI in Milliwatts - A Grand Challenge and Massive Opportunity
Explore visual AI's potential in low-power devices, discussing challenges, opportunities, and applications in security cameras and beyond. Learn about deep learning, processors, and algorithms driving this technology.
TinyML Talks - SRAM Based In-Memory Computing for Energy-Efficient AI Inference
Explore SRAM-based in-memory computing for energy-efficient AI inference, covering bitcell circuits, architectures, and design optimization for improved performance in low-power processors.
hls4ml: An Open-Source Co-Design Workflow for Scientific Low-Power Machine Learning Devices
Explore hls4ml, an open-source workflow for implementing machine learning algorithms on FPGAs and ASICs, enabling real-time processing for scientific applications and accelerating discoveries.
TinyML Journey: From Face Detection Demo to Real-Life Commercial Deployment
Exploring the journey from tinyML face detection demos to large-scale commercial deployment, addressing real-world challenges and bridging the gap between prototypes and practical applications.