IEEE Computer Architecture Letters

Papers
(The median citation count of IEEE Computer Architecture Letters is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-07-01 to 2024-07-01.)
ArticleCitations
DRAMsim3: A Cycle-Accurate, Thermal-Capable DRAM Simulator107
SmartSSD: FPGA Accelerated Near-Storage Data Analytics on SSD40
RAMBO: Resource Allocation for Microservices Using Bayesian Optimization30
GPU-NEST: Characterizing Energy Efficiency of Multi-GPU Inference Servers29
pPIM: A Programmable Processor-in-Memory Architecture With Precision-Scaling for Deep Learning25
The Entangling Instruction Prefetcher18
Lightweight Hardware Implementation of Binary Ring-LWE PQC Accelerator17
A Cross-Stack Approach Towards Defending Against Cryptojacking15
MultiPIM: A Detailed and Configurable Multi-Stack Processing-In-Memory Simulator15
Rebasing Instruction Prefetching: An Industry Perspective13
Flexion: A Quantitative Metric for Flexibility in DNN Accelerators12
HBM3 RAS: Enhancing Resilience at Scale11
Cryogenic PIM: Challenges & Opportunities10
Heterogeneity-Aware Scheduling on SoCs for Autonomous Vehicles8
STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators8
TRiM: Tensor Reduction in Memory8
Reorder Buffer Contention: A Forward Speculative Interference Attack for Speculation Invariant Instructions8
A Day In the Life of a Quantum Error8
Accelerating Concurrent Priority Scheduling Using Adaptive in-Hardware Task Distribution in Multicores7
BTB-X: A Storage-Effective BTB Organization7
Characterizing and Understanding End-to-End Multi-Modal Neural Networks on GPUs7
MCsim: An Extensible DRAM Memory Controller Simulator7
Understanding the Implication of Non-Volatile Memory for Large-Scale Graph Neural Network Training6
Instruction Criticality Based Energy-Efficient Hardware Data Prefetching6
Computational CXL-Memory Solution for Accelerating Memory-Intensive Applications6
FPGA-Based AI Smart NICs for Scalable Distributed AI Training Systems6
Harnessing Pairwise-Correlating Data Prefetching With Runahead Metadata6
GraNDe: Near-Data Processing Architecture With Adaptive Matrix Mapping for Graph Convolutional Networks6
DRAM-CAM: General-Purpose Bit-Serial Exact Pattern Matching6
A Lightweight Memory Access Pattern Obfuscation Framework for NVM5
Deep Partitioned Training From Near-Storage Computing to DNN Accelerators5
Dagger: Towards Efficient RPCs in Cloud Microservices With Near-Memory Reconfigurable NICs5
Characterizing and Understanding HGNNs on GPUs5
Hardware Acceleration for GCNs via Bidirectional Fusion5
A First-Order Model to Assess Computer Architecture Sustainability5
Characterizing and Understanding Distributed GNN Training on GPUs5
LT-PIM: An LUT-Based Processing-in-DRAM Architecture With RowHammer Self-Tracking5
DAM: Deadblock Aware Migration Techniques for STT-RAM-Based Hybrid Caches4
Dynamic Optimization of On-Chip Memories for HLS Targeting Many-Accelerator Platforms4
Decoupled SSD: Reducing Data Movement on NAND-Based Flash SSD4
PIM-GraphSCC: PIM-Based Graph Processing Using Graph’s Community Structures4
WPC: Whole-Picture Workload Characterization Across Intermediate Representation, ISA, and Microarchitecture4
Zero-Copying I/O Stack for Low-Latency SSDs4
Hungarian Qubit Assignment for Optimized Mapping of Quantum Circuits on Multi-Core Architectures4
Row-Streaming Dataflow Using a Chaining Buffer and Systolic Array+ Structure4
Adaptive Web Browsing on Mobile Heterogeneous Multi-cores4
Managing Prefetchers With Deep Reinforcement Learning4
A Quantum Computer Trusted Execution Environment3
Infinity Stream: Enabling Transparent and Automated In-Memory Computing3
Unleashing the Potential of PIM: Accelerating Large Batched Inference of Transformer-Based Generative Models3
Near-Data Processing in Memory Expander for DNN Acceleration on GPUs3
Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing3
Data-Aware Compression of Neural Networks3
Last-Level Cache Insertion and Promotion Policy in the Presence of Aggressive Prefetching3
OpenMDS: An Open-Source Shell Generation Framework for High-Performance Design on Xilinx Multi-Die FPGAs3
MQSim-E: An Enterprise SSD Simulator3
Towards Improved Power Management in Cloud GPUs3
Characterization and Implementation of Radar System Applications on a Reconfigurable Dataflow Architecture3
Canal: A Flexible Interconnect Generator for Coarse-Grained Reconfigurable Arrays2
Mitigating Timing-Based NoC Side-Channel Attacks With LLC Remapping2
Accelerators & Security: The Socket Approach2
A Flexible Embedding-Aware Near Memory Processing Architecture for Recommendation System2
Scale-Model Simulation2
DAMARU: A Denial-of-Service Attack on Randomized Last-Level Caches2
Hardware-Implemented Lightweight Accelerator for Large Integer Polynomial Multiplication2
A Case Study of a DRAM-NVM Hybrid Memory Allocator for Key-Value Stores2
Balancing Performance Against Cost and Sustainability in Multi-Chip-Module GPUs2
Stride Equality Prediction for Value Speculation2
XLA-NDP: Efficient Scheduling and Code Generation for Deep Learning Model Training on Near-Data Processing Memory2
The Case for Domain-Specialized Branch Predictors for Graph-Processing2
Aging-Aware Context Switching in Multicore Processors Based on Workload Classification2
The Case for Dynamic Bias in Global Adaptive Routing2
Exploring PIM Architecture for High-Performance Graph Pattern Mining2
MPU-Sim: A Simulator for In-DRAM Near-Bank Processing Architectures2
Fine-Grained Scheduling in Heterogeneous-ISA Architectures2
Accelerating Graph Processing With Lightweight Learning-Based Data Reordering2
FastDrain: Removing Page Victimization Overheads in NVMe Storage Stack2
Enabling In-SRAM Pattern Processing With Low-Overhead Reporting Architecture2
BayesTuner: Leveraging Bayesian Optimization For DNN Inference Configuration Selection2
A Case for Speculative Strength Reduction2
LV: Latency-Versatile Floating-Point Engine for High-Performance Deep Neural Networks1
A Pre-Silicon Approach to Discovering Microarchitectural Vulnerabilities in Security Critical Applications1
X-ray: Discovering DRAM Internal Structure and Error Characteristics by Issuing Memory Commands1
Runtime Support for Accelerating CNN Models on Digital DRAM Processing-in-Memory Hardware1
gem5-accel: A Pre-RTL Simulation Toolchain for Accelerator Architecture Validation1
DNA Pre-Alignment Filter Using Processing Near Racetrack Memory1
Energy-Efficient Bayesian Inference Using Bitstream Computing1
FlexScore: Quantifying Flexibility1
Ramulator 2.0: A Modern, Modular, and Extensible DRAM Simulator1
By-Software Branch Prediction in Loops1
Modeling Periodic Energy-Harvesting Computing Systems1
Advancing Compilation of DNNs for FPGAs Using Operation Set Architectures1
SmaQ: Smart Quantization for DNN Training by Exploiting Value Clustering1
Approximate Multiplier Design With LFSR-Based Stochastic Sequence Generators for Edge AI1
Architectural Implications of GNN Aggregation Programming Abstractions1
Overcoming Memory Capacity Wall of GPUs With Heterogeneous Memory Stack1
Ensuring Data Confidentiality in eADR-Based NVM Systems1
The Case for Replication-Aware Memory-Error Protection in Disaggregated Memory1
RouteReplies: Alleviating Long Latency in Many-Chip-Module GPUs1
DRAMA: Commodity DRAM Based Content Addressable Memory1
Hardware Trojan Threats to Cache Coherence in Modern 2.5D Chiplet Systems1
NoHammer: Preventing Row Hammer With Last-Level Cache Management1
A Model for Scalable and Balanced Accelerators for Graph Processing1
Multi-Prediction Compression: An Efficient and Scalable Memory Compression Framework for GP-GPU1
T-CAT: Dynamic Cache Allocation for Tiered Memory Systems With Memory Interleaving1
Characterization and Analysis of Deep Learning for 3D Point Cloud Analytics1
Modeling DRAM Timing in Parallel Simulators With Immediate-Response Memory Model1
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