Loh Siew Meng presents on the benefits of technology in providing empowering solutions for the physically disabled persons. He poses the questions that in the light of future tech, will more of the population be deemed "handicapped" relative to technological advancements and enablement.
1. 3D chips will continue to improve processor performance.
Muller believes chip designers will continue to squeeze more power from processors by stacking more transistors and processor dies on top of each other.
"There's a whole bunch of stuff happening in 3D, whether that's within the silicon and 3D transistors stacking within a die, [or] stacking dies together," he said.
"It's become a reality in how you manufacture Flash chips, it's a reality in what you do in servers now, where you take your large multi-core CPU and cut it up into four smaller ones and stack them.
"The yields go up and you actually have better performance and higher yield by starting to stack those processors with memory."
2 . Computers will rely on increasingly specialized chips
While today's systems already offload workloads to processors tailored to accelerate those tasks, for example, 3D rendering to GPUs or running trained machine-learning models to Google's TPUs, Muller predicts future systems will have an even wider range of specialized chips.
"You have to step back and say 'What are some of the tasks we're doing? How can we architect better accelerators to solve specific tasks? And how do we build accelerators?'" he said.
"It's a way of putting brain cycles into solving computational problems that isn't just brute force and transistors."
Greg Yeric, director of Future Silicon Technology for Arm Research, says there's plenty of runway to continue improving accelerators.
"For the next three to five years there's a lot to be gained just by making better CMOS-based machine learning," he says.
"The Google TPU is a great example. You don't need massive amounts of accuracy to do these calculations. You can cut back on power and delay by not counting as many bits in the decimal points. Simple things like that."
3. Computers will move beyond silicon chips
In the near future, it's possible we will reach the limits of conventional materials and technologies used to build processors, such as the CMOS (Complementary metal-oxide-semiconductor) chips used today, says Yeric.
1. 3D chips will continue to improve processor performance.
Muller believes chip designers will continue to squeeze more power from processors by stacking more transistors and processor dies on top of each other.
"There's a whole bunch of stuff happening in 3D, whether that's within the silicon and 3D transistors stacking within a die, [or] stacking dies together," he said.
"It's become a reality in how you manufacture Flash chips, it's a reality in what you do in servers now, where you take your large multi-core CPU and cut it up into four smaller ones and stack them.
"The yields go up and you actually have better performance and higher yield by starting to stack those processors with memory."
2 . Computers will rely on increasingly specialized chips
While today's systems already offload workloads to processors tailored to accelerate those tasks, for example, 3D rendering to GPUs or running trained machine-learning models to Google's TPUs, Muller predicts future systems will have an even wider range of specialized chips.
"You have to step back and say 'What are some of the tasks we're doing? How can we architect better accelerators to solve specific tasks? And how do we build accelerators?'" he said.
"It's a way of putting brain cycles into solving computational problems that isn't just brute force and transistors."
Greg Yeric, director of Future Silicon Technology for Arm Research, says there's plenty of runway to continue improving accelerators.
"For the next three to five years there's a lot to be gained just by making better CMOS-based machine learning," he says.
"The Google TPU is a great example. You don't need massive amounts of accuracy to do these calculations. You can cut back on power and delay by not counting as many bits in the decimal points. Simple things like that."
3. Computers will move beyond silicon chips
In the near future, it's possible we will reach the limits of conventional materials and technologies used to build processors, such as the CMOS (Complementary metal-oxide-semiconductor) chips used today, says Yeric.
1. 3D chips will continue to improve processor performance.
Muller believes chip designers will continue to squeeze more power from processors by stacking more transistors and processor dies on top of each other.
"There's a whole bunch of stuff happening in 3D, whether that's within the silicon and 3D transistors stacking within a die, [or] stacking dies together," he said.
"It's become a reality in how you manufacture Flash chips, it's a reality in what you do in servers now, where you take your large multi-core CPU and cut it up into four smaller ones and stack them.
"The yields go up and you actually have better performance and higher yield by starting to stack those processors with memory."
2 . Computers will rely on increasingly specialized chips
While today's systems already offload workloads to processors tailored to accelerate those tasks, for example, 3D rendering to GPUs or running trained machine-learning models to Google's TPUs, Muller predicts future systems will have an even wider range of specialized chips.
"You have to step back and say 'What are some of the tasks we're doing? How can we architect better accelerators to solve specific tasks? And how do we build accelerators?'" he said.
"It's a way of putting brain cycles into solving computational problems that isn't just brute force and transistors."
Greg Yeric, director of Future Silicon Technology for Arm Research, says there's plenty of runway to continue improving accelerators.
"For the next three to five years there's a lot to be gained just by making better CMOS-based machine learning," he says.
"The Google TPU is a great example. You don't need massive amounts of accuracy to do these calculations. You can cut back on power and delay by not counting as many bits in the decimal points. Simple things like that."
3. Computers will move beyond silicon chips
In the near future, it's possible we will reach the limits of conventional materials and technologies used to build processors, such as the CMOS (Complementary metal-oxide-semiconductor) chips used today, says Yeric.
1. 3D chips will continue to improve processor performance.
Muller believes chip designers will continue to squeeze more power from processors by stacking more transistors and processor dies on top of each other.
"There's a whole bunch of stuff happening in 3D, whether that's within the silicon and 3D transistors stacking within a die, [or] stacking dies together," he said.
"It's become a reality in how you manufacture Flash chips, it's a reality in what you do in servers now, where you take your large multi-core CPU and cut it up into four smaller ones and stack them.
"The yields go up and you actually have better performance and higher yield by starting to stack those processors with memory."
2 . Computers will rely on increasingly specialized chips
While today's systems already offload workloads to processors tailored to accelerate those tasks, for example, 3D rendering to GPUs or running trained machine-learning models to Google's TPUs, Muller predicts future systems will have an even wider range of specialized chips.
"You have to step back and say 'What are some of the tasks we're doing? How can we architect better accelerators to solve specific tasks? And how do we build accelerators?'" he said.
"It's a way of putting brain cycles into solving computational problems that isn't just brute force and transistors."
Greg Yeric, director of Future Silicon Technology for Arm Research, says there's plenty of runway to continue improving accelerators.
"For the next three to five years there's a lot to be gained just by making better CMOS-based machine learning," he says.
"The Google TPU is a great example. You don't need massive amounts of accuracy to do these calculations. You can cut back on power and delay by not counting as many bits in the decimal points. Simple things like that."
3. Computers will move beyond silicon chips
In the near future, it's possible we will reach the limits of conventional materials and technologies used to build processors, such as the CMOS (Complementary metal-oxide-semiconductor) chips used today, says Yeric.
1. 3D chips will continue to improve processor performance.
Muller believes chip designers will continue to squeeze more power from processors by stacking more transistors and processor dies on top of each other.
"There's a whole bunch of stuff happening in 3D, whether that's within the silicon and 3D transistors stacking within a die, [or] stacking dies together," he said.
"It's become a reality in how you manufacture Flash chips, it's a reality in what you do in servers now, where you take your large multi-core CPU and cut it up into four smaller ones and stack them.
"The yields go up and you actually have better performance and higher yield by starting to stack those processors with memory."
2 . Computers will rely on increasingly specialized chips
While today's systems already offload workloads to processors tailored to accelerate those tasks, for example, 3D rendering to GPUs or running trained machine-learning models to Google's TPUs, Muller predicts future systems will have an even wider range of specialized chips.
"You have to step back and say 'What are some of the tasks we're doing? How can we architect better accelerators to solve specific tasks? And how do we build accelerators?'" he said.
"It's a way of putting brain cycles into solving computational problems that isn't just brute force and transistors."
Greg Yeric, director of Future Silicon Technology for Arm Research, says there's plenty of runway to continue improving accelerators.
"For the next three to five years there's a lot to be gained just by making better CMOS-based machine learning," he says.
"The Google TPU is a great example. You don't need massive amounts of accuracy to do these calculations. You can cut back on power and delay by not counting as many bits in the decimal points. Simple things like that."
3. Computers will move beyond silicon chips
In the near future, it's possible we will reach the limits of conventional materials and technologies used to build processors, such as the CMOS (Complementary metal-oxide-semiconductor) chips used today, says Yeric.
1. 3D chips will continue to improve processor performance.
Muller believes chip designers will continue to squeeze more power from processors by stacking more transistors and processor dies on top of each other.
"There's a whole bunch of stuff happening in 3D, whether that's within the silicon and 3D transistors stacking within a die, [or] stacking dies together," he said.
"It's become a reality in how you manufacture Flash chips, it's a reality in what you do in servers now, where you take your large multi-core CPU and cut it up into four smaller ones and stack them.
"The yields go up and you actually have better performance and higher yield by starting to stack those processors with memory."
2 . Computers will rely on increasingly specialized chips
While today's systems already offload workloads to processors tailored to accelerate those tasks, for example, 3D rendering to GPUs or running trained machine-learning models to Google's TPUs, Muller predicts future systems will have an even wider range of specialized chips.
"You have to step back and say 'What are some of the tasks we're doing? How can we architect better accelerators to solve specific tasks? And how do we build accelerators?'" he said.
"It's a way of putting brain cycles into solving computational problems that isn't just brute force and transistors."
Greg Yeric, director of Future Silicon Technology for Arm Research, says there's plenty of runway to continue improving accelerators.
"For the next three to five years there's a lot to be gained just by making better CMOS-based machine learning," he says.
"The Google TPU is a great example. You don't need massive amounts of accuracy to do these calculations. You can cut back on power and delay by not counting as many bits in the decimal points. Simple things like that."
3. Computers will move beyond silicon chips
In the near future, it's possible we will reach the limits of conventional materials and technologies used to build processors, such as the CMOS (Complementary metal-oxide-semiconductor) chips used today, says Yeric.