1. Past Practices of Conventional Core Microarchitecture is Dead
ROADMAP
Backdrop
Brief history of graphics hardware
Why GPU Computing?
Progression
GPU Computing 1.0 – compute pretending to be graphics
GPU Computing 2.0 – direct computing, CUDA
GPU Computing 3.0 – an emerging ecosystem
Future
Driving workloads
GPU Computing 4.0?
Steve Keckler Architecture Research Group

2. Old Equations

3. New Equation

4. Where are we now? Today’s high-end CPUs: 1-2nJ/Flop
Today’s high-end GPUs: ~200pJ/Flop

5. What do things cost? Operation Energy 64-bit FP Operation 10.5pJ
Regfile access (2 read/1 write)
5.5pJ
Instruction RAM access
3.6pJ
Data RAM access
On-chip wire
18-110fJ/bit-mm
64-bit on-chip bus
1.2-7pJ/mm
Standard off-chip link
30pJ/bit
TSV (not including wire)
1-11fJ/bit
30nm with aggressive voltage scaling, from DARPA Exascale Report, 2008

6. Core microarchitecture is not dead
But now need to focus on core perf/W
Limit communication, storage access overheads
All multicore proposals must focus on Perf/W
Drive down overheads of data movement and tracking

7. Research poster submission deadline: August 15
Research poster submission deadline: August 15