1 option
2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA) / IEEE Computer Society.
- Format:
- Book
- Author/Creator:
- IEEE Computer Society, author, issuing body.
- Language:
- English
- Subjects (All):
- Computer architecture--Congresses.
- Computer architecture.
- High performance computing--Congresses.
- High performance computing.
- Physical Description:
- 1 online resource
- Place of Publication:
- [Place of publication not identified] : IEEE Computer Society, 2024.
- Contents:
- Exploitation of Security Vulnerability on Retirement
- GADGETSPINNER: A New Transient Execution Primitive Using the Loop Stream Detector
- Uncovering and Exploiting AMD Speculative Memory Access Predictors for Fun and Profit
- E2EMap: End-to-End Reinforcement Learning for CGRA Compilation via Reverse Mapping
- Revet: A Language and Compiler for Dataflow Threads
- An Optimizing Framework on MLIR for Efficient FPGA-based Accelerator Generation
- Celeritas: Out-of-Core Based Unsupervised Graph Neural Network via Cross-Layer Computing 2024
- PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration
- MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization
- Bandwidth-Effective DRAM Cache for GPU s with Storage-Class Memory
- Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet Accelerators
- Stellar: Energy-Efficient and Low-Latency SNN Algorithm and Hardware Co-Design with Spatiotemporal Computation
- MIMDRAM: An End-to-End Processing-Using-DRAM System for High-Throughput, Energy-Efficient and Programmer-Transparent Multiple-Instruction Multiple-Data Computing
- Supporting Secure Multi-GPU Computing with Dynamic and Batched Metadata Management
- Data Enclave: A Data-Centric Trusted Execution Environment
- Salus: Efficient Security Support for CXL-Expanded GPU Memory
- Morphling: A Throughput-Maximized TFHE-based Accelerator using Transform-domain Reuse
- Pathfinding Future PIM Architectures by Demystifying a Commercial PIM Technology
- Functionally-Complete Boolean Logic in Real DRAM Chips: Experimental Characterization and Analysis
- StreamPIM: Streaming Matrix Computation in Racetrack Memory
- SmartDIMM: In-Memory Acceleration of Upper Layer Protocols
- BeaconGNN: Large-Scale GNN Acceleration with Out-of-Order Streaming In-Storage Computing
- Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System
- FlashGNN: An In-SSD Accelerator for GNN Training
- DockerSSD: Containerized In-Storage Processing and Hardware Acceleration for Computational SSDs
- PREFETCHX: Cross-Core Cache-Agnostic Prefetcher-based Side-Channel Attacks
- Modeling, Derivation, and Automated Analysis of Branch Predictor Security Vulnerabilities
- SegScope: Probing Fine-grained Interrupts via Architectural Footprints
- Differential-Matching Prefetcher for Indirect Memory Access
- SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving
- Rapper: A Parameter-Aware Repair-in-Memory Accelerator for Blockchain Storage Platform
- MOPED: Efficient Motion Planning Engine with Flexible Dimension Support
- TALCO: Tiling Genome Sequence Alignment Using Convergence of Traceback Pointers
- Effective Context-Sensitive Memory Dependence Prediction
- A Two Level Neural Approach Combining Off-Chip Prediction with Adaptive Prefetch Filtering
- Gem5-MARVEL: Microarchitecture-Level Resilience Analysis of Heterogeneous SoC Architectures
- Spatial Variation-Aware Read Disturbance Defenses: Experimental Analysis of Real DRAM Chips and Implications on Future Solutions
- START: Scalable Tracking for any Rowhammer Threshold
- CoMeT: Count-Min-Sketch-based Row Tracking to Mitigate RowHammer at Low Cost
- A Quantum Computer Trusted Execution Environment
- Unleashing the Potential of PIM: Accelerating Large Batched Inference of Transformer-Based Generative Models
- Computational CXL-Memory Solution for Accelerating Memory-Intensive Applications
- LearnedFTL: A Learning-Based Page-Level FTL for Reducing Double Reads in Flash-Based SSDs
- Are Superpages Super-fast? Distilling Flash Blocks to Unify Flash Pages of a Superpage in an SSD
- RiF: Improving Read Performance of Modern SSDs Using an On-Die Early-Retry Engine
- Midas Touch: Invalid-Data Assisted Reliability and Performance Boost for 3d High-Density Flash
- ECO-CHIP: Estimation of Carbon Footprint of Chiplet-based Architectures for Sustainable VLSI
- Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator
- MIRAGE: Quantum Circuit Decomposition and Routing Collaborative Design Using Mirror Gates
- SACHI: A Stationarity-Aware, All-Digital, Near-Memory, Ising Architecture
- BitWave: Exploiting Column-Based Bit-Level Sparsity for Deep Learning Acceleration
- LUTein: Dense-Sparse Bit-Slice Architecture With Radix-4 LUT-Based Slice-Tensor Processing Units
- FIGNA: Integer Unit-Based Accelerator Design for FP-INT GEMM Preserving Numerical Accuracy
- ASADI: Accelerating Sparse Attention Using Diagonal-based In-Situ Computing
- Enabling Large Dynamic Neural Network Training with Learning-based Memory Management
- Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search
- SpecFL: An Efficient Speculative Federated Learning System for Tree-based Model Training
- Enhancing Collective Communication in MCM Accelerators for Deep Learning Training
- TinyTS: Memory-Efficient TinyML Model Compiler Framework on Microcontrollers
- CAMEL: Co-Designing AI Models and eDRAMs for Efficient On-Device Learning
- FlipBit: Approximate Flash Memory for IoT Devices
- Usas: A Sustainable Continuous-Learning´ Framework for Edge Servers
- Cepheus: Accelerating Datacenter Applications with High-Performance RoCE-Capable Multicast
- LibPreemptible: Enabling Fast, Adaptive, and Hardware-Assisted User-Space Scheduling
- MINOS: Distributed Consistency and Persistency Protocol Implementation & Offloading to SmartNICs
- Ursa: Lightweight Resource Management for Cloud-Native Microservices
- An LPDDR-based CXL-PNM Platform for TCO-efficient Inference of Transformer-based Large Language Models
- LightPool: A NVMe-oF-based High-performance and Lightweight Storage Pool Architecture for Cloud-Native Distributed Database
- Enterprise-Class Cache Compression Design
- HotTiles: Accelerating SpMM with Heterogeneous Accelerator Architectures
- SPARK: Scalable and Precision-Aware Acceleration of Neural Networks via Efficient Encoding
- Data Motion Acceleration: Chaining Cross-Domain Multi Accelerators
- RELIEF: Relieving Memory Pressure In SoCs Via Data Movement-Aware Accelerator Scheduling
- GRIT: Enhancing Multi-GPU Performance with Fine-Grained Dynamic Page Placement
- WASP: Exploiting GPU Pipeline Parallelism with Hardware-Accelerated Automatic Warp Specialization
- Guser: A GPGPU Power Stressmark Generator
- GPU Scale-Model Simulation
- Agile-DRAM: Agile Trade-Offs in Memory Capacity, Latency, and Energy for Data Centers
- CHROME: Concurrency-Aware Holistic Cache Management Framework with Online Reinforcement Learning
- Prosper: Program Stack Persistence in Hybrid Memory Systems
- Mitigating Write Disturbance in Non-Volatile Memory via Coupling Machine Learning with Out-of-Place Updates.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9798350393132
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.