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Aquabolt-XL HBM2-PIM, LPDDR5-PIM With In-Memory Processing, and AXDIMM With Acceleration Buffer
Jin Hyun Kim
, Shin Haeng Kang
, Sukhan Lee
, Hyeonsu Kim
, Yuhwan Ro
, Seungwon Lee
, David Wang
, Jihyun Choi
, Jinin So
, Yeon Gon Cho
, Joon Ho Song
, Jeonghyeon Cho
, Kyomin Sohn
,
Nam Sung Kim
Electrical and Computer Engineering
National Center for Supercomputing Applications (NCSA)
Coordinated Science Lab
Siebel School of Computing and Data Science
Research output
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peer-review
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Keyphrases
In-memory
100%
In-memory Processing
100%
HBM2
100%
LPDDR5
100%
Performance Improvement
28%
Speech Recognition
28%
Energy Saving
28%
Data Movement
28%
Microkernel
28%
Graphics Processing Unit
14%
Performance Gain
14%
Energy Reduction
14%
With Memory
14%
Energy Consumption Reduction
14%
System Unit
14%
Working Memory Load
14%
Matrix-vector multiplication
14%
Parallel Processing
14%
General Matrix
14%
Memory Data
14%
Xilinx
14%
In-memory Computing
14%
Workload Performance
14%
Long Short-term Memory
14%
Computing Unit
14%
Transformer-based
14%
Intensive Workloads
14%
RDIMM
14%
Computer Science
In-Memory Processing
100%
Speech Recognition
25%
Performance Gain
12%
Parallel Processing
12%
Performance Improvement
12%
Energy Consumption
12%
Data Memory
12%
Vector Multiplication
12%
Computing Units
12%
Long Short-Term Memory Network
12%
Graphics Processing Unit
12%