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 2022-06-01 to 2026-06-01.)
ArticleCitations
Old is Gold: Optimizing Single-Threaded Applications With ExGen-Malloc94
Speculative Multi-Level Access in LSM Tree-Based KV Store26
Toward Practical 128-Bit General Purpose Microarchitectures24
A Characterization of Generative Recommendation Models: Study of Hierarchical Sequential Transduction Unit22
Characterization and Analysis of Text-to-Image Diffusion Models21
Exploration of Algorithm-Hardware Co-Design for Floating-Point Digital Compute-in-Memory21
Accelerating Programmable Bootstrapping Targeting Contemporary GPU Microarchitecture20
The Architectural Sustainability Indicator19
Time Series Machine Learning Models for Precise SSD Access Latency Prediction18
SCALES: SCALable and Area-Efficient Systolic Accelerator for Ternary Polynomial Multiplication18
Context-Aware Set Dueling for Dynamic Policy Arbitration16
Breaking the HBM Bit Cost Barrier: Domain-Specific ECC for AI Inference Infrastructure13
De-Quantization Penalties for Interactive LLM Inference on Prosumer GPUs13
In-Depth Characterization of Machine Learning on an Optimized Multi-Party Computing Library12
MoSKA: Mixture of Shared KV Attention for Efficient Long-Sequence LLM Inference12
A Quantitative Analysis of Mamba-2-Based Large Language Model: Study of State Space Duality12
SoCurity: A Design Approach for Enhancing SoC Security11
Straw: A Stress-Aware WL-Based Read Reclaim Technique for High-Density NAND Flash-Based SSDs11
Improving Energy-Efficiency of Capsule Networks on Modern GPUs11
Exploring KV Cache Quantization in Multimodal Large Language Model Inference11
OASIS: Outlier-Aware KV Cache Clustering for Scaling LLM Inference in CXL Memory Systems10
Wafer-scale GPU Memory Pool with In-Package Optics for Enhanced Capacity and Bandwidth10
AiDE: Attention-FFN Disaggregated Execution for Cost-Effective LLM Decoding on CXL-PNM10
A Flexible Embedding-Aware Near Memory Processing Architecture for Recommendation System9
REDIT: Redirection-Enabled Memory-Side Directory Architecture for CXL Memory Fabric9
In-Memory Versioning (IMV)8
RouteReplies: Alleviating Long Latency in Many-Chip-Module GPUs8
A Case for In-Memory Random Scatter-Gather for Fast Graph Processing8
StreamDQ: HBM-Integrated On-the-Fly DeQuantization via Memory Load for Large Language Models8
Disaggregated Speculative Decoding for Carbon-Efficient LLM Serving7
Enabling Computation and Communication Overlap in PIMs for On-Device LLM Inference7
Exploring the DIMM PIM Architecture for Accelerating Time Series Analysis7
High-Bandwidth Flash for KV Caches: Endurance and Performance Implications6
Improving Performance on Tiered Memory With Semantic Data Placement6
Mitigating Timing-Based NoC Side-Channel Attacks With LLC Remapping6
Accelerating Deep Reinforcement Learning via Phase-Level Parallelism for Robotics Applications6
Thread-Adaptive: High-Throughput Parallel Architectures of SLH-DSA on GPUs6
PUDTune: Multi-Level Charging for High-Precision Calibration in Processing-Using-DRAM6
DeMM: A Decoupled Matrix Multiplication Engine Supporting Relaxed Structured Sparsity6
NoHammer: Preventing Row Hammer With Last-Level Cache Management6
QuArch: A Question-Answering Dataset for AI Agents in Computer Architecture6
Exploiting Intel Advanced Matrix Extensions (AMX) for Large Language Model Inference6
Security Helper Chiplets: A New Paradigm for Secure Hardware Monitoring6
pNet-gem5: Full-System Simulation With High-Performance Networking Enabled by Parallel Network Packet Processing6
Efficient Deadlock Avoidance by Considering Stalling, Message Dependencies, and Topology5
Hisui: Unlocking Tiered Memory Efficiency for FaaS Workloads5
SSD Offloading for LLM Mixture-of-Experts Weights Considered Harmful in Energy Efficiency5
LADIO: Leakage-Aware Direct I/O for I/O-Intensive Workloads5
SparseLeakyNets: Classification Prediction Attack Over Sparsity-Aware Embedded Neural Networks Using Timing Side-Channel Information5
High-Performance Winograd Based Accelerator Architecture for Convolutional Neural Network5
RAESC: A Reconfigurable AES Countermeasure Architecture for RISC-V With Enhanced Power Side-Channel Resilience5
Memory-Centric MCM-GPU Architecture5
PreGNN: Hardware Acceleration to Take Preprocessing Off the Critical Path in Graph Neural Networks4
ReplayOpt: Optimizer-State Replay to Resolve Critical-Path Bottlenecks in Offloaded Training4
A Flexible Hybrid Interconnection Design for High-Performance and Energy-Efficient Chiplet-Based Systems4
Managing Prefetchers With Deep Reinforcement Learning4
H 3 : H ybrid Architecture Using H igh Bandwidth Memory4
Xami : E x pert-Aware A daptive Compression for Mi 4
Enhancing the Reach and Reliability of Quantum Annealers by Pruning Longer Chains4
Nighthawk: Zero-Copy Cache Quarantine for Invisible Speculation4
KiF: Accelerating Low-Batch LLM Inference Using In-Flash KV Cache4
Primate: A Framework to Automatically Generate Soft Processors for Network Applications4
FPGA-Accelerated Data Preprocessing for Personalized Recommendation Systems3
Fast Inter-Enclave Communication Encryption3
Driving the Core Frontend With LiteBTB3
T-CAT: Dynamic Cache Allocation for Tiered Memory Systems With Memory Interleaving3
LeakDiT: Diffusion Transformers for Trace-Augmented Side-Channel Analysis3
Understanding the Performance Behaviors of End-to-End Protein Design Pipelines on GPUs3
Accelerators & Security: The Socket Approach3
ZoneBuffer: An Efficient Buffer Management Scheme for ZNS SSDs3
Enabling Cost-Efficient LLM Inference on Mid-Tier GPUs With NMP DIMMs3
Fast Performance Prediction for Efficient Distributed DNN Training3
Direct-Coding DNA With Multilevel Parallelism3
Exploring Volatile FPGAs Potential for Accelerating Energy-Harvesting IoT Applications3
Adaptive Web Browsing on Mobile Heterogeneous Multi-cores3
SSE: Security Service Engines to Accelerate Enclave Performance in Secure Multicore Processors3
Guard Cache: Creating Noisy Side-Channels3
A Quantum Computer Trusted Execution Environment3
SEMS: Scalable Embedding Memory System for Accelerating Embedding-Based DNNs3
Camulator: A Lightweight and Extensible Trace-Driven Cache Simulator for Embedded Multicore SoCs3
Per-Row Activation Counting on Real Hardware: Demystifying Performance Overheads2
Hungarian Qubit Assignment for Optimized Mapping of Quantum Circuits on Multi-Core Architectures2
Cost-Effective Extension of DRAM-PIM for Group-Wise LLM Quantization2
Characterization and Analysis of the 3D Gaussian Splatting Rendering Pipeline2
Unleashing the Potential of PIM: Accelerating Large Batched Inference of Transformer-Based Generative Models2
Minimal Counters, Maximum Insight: Simplifying System Performance With HPC Clusters for Optimized Monitoring2
A First-Order Model to Assess Computer Architecture Sustainability2
R.I.P. Geomean Speedup Use Equal-Work (Or Equal-Time) Harmonic Mean Speedup Instead2
DRAM-CAM: General-Purpose Bit-Serial Exact Pattern Matching2
gem5-accel: A Pre-RTL Simulation Toolchain for Accelerator Architecture Validation2
FullPack: Full Vector Utilization for Sub-Byte Quantized Matrix-Vector Multiplication on General Purpose CPUs2
EgDiff: An Enhanced Global Load Value Predictor2
Enhancing DNN Training Efficiency Via Dynamic Asymmetric Architecture2
Redundant Array of Independent Memory Devices2
eDKM: An Efficient and Accurate Train-Time Weight Clustering for Large Language Models2
A Case Study of a DRAM-NVM Hybrid Memory Allocator for Key-Value Stores2
MOST: Memory Oversubscription-Aware Scheduling for Tensor Migration on GPU Unified Storage2
FPGA-Based AI Smart NICs for Scalable Distributed AI Training Systems2
Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System2
Analyzing and Exploiting Memory Hierarchy Parallelism With MLP Stacks2
LWAL: Lightweight Adaptive Learning-Driven Cache Bypassing for GPUs2
Approximate Multiplier Design With LFSR-Based Stochastic Sequence Generators for Edge AI2
Architectural Implications of GNN Aggregation Programming Abstractions2
Characterization and Implementation of Radar System Applications on a Reconfigurable Dataflow Architecture2
Overcoming Memory Capacity Wall of GPUs With Heterogeneous Memory Stack2
CABANA : Cluster-Aware Query Batching for Accelerating Billion-Scale ANNS With Intel AMX2
Computational CXL-Memory Solution for Accelerating Memory-Intensive Applications2
CGR-NPU: A Hybrid CGRA and NPU Architecture for Adaptive Neural Computing Workloads2
Capacity-Latency Tradeoffs in CXL Memory Expander at Hyperscale2
Amethyst: Reducing Data Center Emissions With Dynamic Autotuning and VM Management2
IntervalSim++: Enhanced Interval Simulation for Unbalanced Processor Designs2
On Internally Tagged Instruction Set Architectures2
Near-HBM Tensor Core Acceleration for Fine-Grained Sparse Matrix-Matrix Multiplication2
Reducing the Silicon Area Overhead of Counter-Based Rowhammer Mitigations2
Accelerating Page Migrations in Operating Systems With Intel DSA2
PINSim: A Processing In- and Near-Sensor Simulator to Model Intelligent Vision Sensors2
Enhancing DCIM Efficiency with Multi-Storage-Row Architecture for Edge AI Workloads2
Energy-Efficient Bayesian Inference Using Bitstream Computing2
A Hardware-Friendly Tiled Singular-Value Decomposition-Based Matrix Multiplication for Transformer-Based Models1
GraNDe: Near-Data Processing Architecture With Adaptive Matrix Mapping for Graph Convolutional Networks1
Approximate SFQ-Based Computing Architecture Modeling With Device-Level Guidelines1
Hashing ATD Tags for Low-Overhead Safe Contention Monitoring1
Pyramid: Accelerating LLM Inference With Cross-Level Processing-in-Memory1
Contention-Aware GPU Thread Block Scheduler for Efficient GPU-SSD1
Exploiting Intel AMX Power Gating1
Cache and Near-Data Co-Design for Chiplets1
Characterizing and Understanding End-to-End Multi-Modal Neural Networks on GPUs1
A Case for Hardware Memoization in Server CPUs1
Electra: Eliminating the Ineffectual Computations on Bitmap Compressed Matrices1
An Intermediate Language for General Sparse Format Customization1
Canal: A Flexible Interconnect Generator for Coarse-Grained Reconfigurable Arrays1
Intelligent SSD Firmware for Zero-Overhead Journaling1
Towards an Accelerator for Differential and Algebraic Equations Useful to Scientists1
JBOC: Just a Bunch of CXL-Enabled SSDs for Resource-Efficient LLM Checkpointing1
Tulip: Turn-Free Low-Power Network-on-Chip1
On Variable Strength Quantum ECC1
Architectural Security Regulation1
Fusing Adds and Shifts for Efficient Dot Products1
Dicemite: Scaling Shared-Memory Isolation for Highly Consolidated FaaS Workers1
Structured Combinators for Efficient Graph Reduction1
Exploiting Direct Memory Operands in GPU Instructions1
GPU-Centric Memory Tiering for LLM Serving With NVIDIA Grace Hopper Superchip1
A Partial Tag–Data Decoupled Architecture for Last-Level Cache Optimization1
SPAM: Streamlined Prefetcher-Aware Multi-Threaded Cache Covert-Channel Attack1
Characterizing and Understanding HGNNs on GPUs1
Efficient MoE Model Fine-Tuning on Commodity GPU Server With Offloading1
HINT: A Hardware Platform for Intra-Host NIC Traffic and SmartNIC Emulation1
Supporting a Virtual Vector Instruction Set on a Commercial Compute-in-SRAM Accelerator1
SPGPU: Spatially Programmed GPU1
EONSim: An NPU Simulator for On-Chip Memory and Embedding Vector Operations1
X-PPR: Post Package Repair for CXL Memory1
Stardust: Scalable and Transferable Workload Mapping for Large AI on Multi-Chiplet Systems1
Low-Latency PIM Accelerator for Edge LLM Inference1
UDIR: Towards a Unified Compiler Framework for Reconfigurable Dataflow Architectures1
A Data Prefetcher-Based 1000-Core RISC-V Processor for Efficient Processing of Graph Neural Networks1
InfAMAX: Bridging the Compute-Memory Gap in Intel AMX for Efficient LLM Inference1
MajorK: Majority Based kmer Matching in Commodity DRAM1
Balancing Performance Against Cost and Sustainability in Multi-Chip-Module GPUs1
A Multiple-Aspect Optimal CNN Accelerator in Top1 Accuracy, Performance, and Power Efficiency1
Address Scaling: Architectural Support for Fine-Grained Thread-Safe Metadata Management1
GEMM the New Gem: The Inevitable Kernel and its Sensitivity to Compiler Optimizations and Libraries1
Halis: A Hardware-Software Co-Designed Near-Cache Accelerator for Graph Pattern Mining1
MixDiT: Accelerating Image Diffusion Transformer Inference With Mixed-Precision MX Quantization1
TeleVM: A Lightweight Virtual Machine for RISC-V Architecture1
I/O-ETEM: An I/O-Aware Approach for Estimating Execution Time of Machine Learning Workloads1
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