x86/cpuid: Add AVX512_4VNNIW and AVX512_4FMAPS support

Add two new AVX512 subfeatures support for guest.

AVX512_4VNNIW:
Vector instructions for deep learning enhanced word variable precision.

AVX512_4FMAPS:
Vector instructions for deep learning floating-point single precision.

Signed-off-by: Luwei Kang <luwei.kang@intel.com>
Signed-off-by: He Chen <he.chen@linux.intel.com>
Reviewed-by: Jan Beulich <jbeulich@suse.com>
Reviewed-by: Andrew Cooper <andrew.cooper3@citrix.com>
Acked-by: Wei Liu <wei.liu2@citrix.com>
This commit is contained in:
He Chen authored and Andrew Cooper committed 2016-12-02 12:56:38 +00:00
1 parent da2209921e
commit a0b4216179
9 files changed
+28 -7

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+6 -2
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@@ -547,13 +547,15 @@ static void xc_cpuid_hvm_policy(xc_interface *xch,
{
regs[1] = info->featureset[featureword_of(X86_FEATURE_FSGSBASE)];
regs[2] = info->featureset[featureword_of(X86_FEATURE_PREFETCHWT1)];
regs[3] = info->featureset[featureword_of(X86_FEATURE_AVX512_4VNNIW)];
}
else
{
regs[1] = 0;
regs[2] = 0;
regs[3] = 0;
}
regs[0] = regs[3] = 0;
regs[0] = 0;
break;
case 0x0000000d:
@@ -638,13 +640,15 @@ static void xc_cpuid_pv_policy(xc_interface *xch,
{
regs[1] = info->featureset[featureword_of(X86_FEATURE_FSGSBASE)];
regs[2] = info->featureset[featureword_of(X86_FEATURE_PREFETCHWT1)];
regs[3] = info->featureset[featureword_of(X86_FEATURE_AVX512_4VNNIW)];
}
else
{
regs[1] = 0;
regs[2] = 0;
regs[3] = 0;
}
regs[0] = regs[3] = 0;
regs[0] = 0;
break;
case 0x0000000d:
+10
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@@ -143,6 +143,15 @@ static const char *str_e8b[32] =
[1 ... 31] = "REZ",
};
static const char *str_7d0[32] =
{
[0 ... 1] = "REZ",
[ 2] = "avx512_4vnniw", [ 3] = "avx512_4fmaps",
[4 ... 31] = "REZ",
};
static struct {
const char *name;
const char *abbr;
@@ -158,6 +167,7 @@ static struct {
{ "0x00000007:0.ecx", "7c0", str_7c0 },
{ "0x80000007.edx", "e7d", str_e7d },
{ "0x80000008.ebx", "e8b", str_e8b },
{ "0x00000007:0.edx", "7d0", str_7d0 },
};
#define COL_ALIGN "18"
+1 -1
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@@ -325,7 +325,7 @@ static void generic_identify(struct cpuinfo_x86 *c)
cpuid_count(0x00000007, 0, &tmp,
&c->x86_capability[cpufeat_word(X86_FEATURE_FSGSBASE)],
&c->x86_capability[cpufeat_word(X86_FEATURE_PKU)],
&tmp);
&c->x86_capability[cpufeat_word(X86_FEATURE_AVX512_4VNNIW)]);
}
/*
+1 -1
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@@ -78,7 +78,7 @@ static void __init calculate_raw_featureset(void)
cpuid_count(0x7, 0, &tmp,
&raw_featureset[FEATURESET_7b0],
&raw_featureset[FEATURESET_7c0],
&tmp);
&raw_featureset[FEATURESET_7d0]);
if ( max >= 0xd )
cpuid_count(0xd, 1,
&raw_featureset[FEATURESET_Da1],
+1
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@@ -3525,6 +3525,7 @@ void hvm_cpuid(unsigned int input, unsigned int *eax, unsigned int *ebx,
special_features[FEATURESET_7b0]);
*ecx &= hvm_featureset[FEATURESET_7c0];
*edx &= hvm_featureset[FEATURESET_7d0];
/* Don't expose HAP-only features to non-hap guests. */
if ( !hap_enabled(d) )
+3 -2
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@@ -1133,6 +1133,7 @@ void pv_cpuid(struct cpu_user_regs *regs)
special_features[FEATURESET_7b0]);
c &= pv_featureset[FEATURESET_7c0];
d &= pv_featureset[FEATURESET_7d0];
if ( !is_pvh_domain(currd) )
{
@@ -1147,8 +1148,8 @@ void pv_cpuid(struct cpu_user_regs *regs)
}
}
else
b = c = 0;
a = d = 0;
b = c = d = 0;
a = 0;
break;
case XSTATE_CPUID:
+1
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@@ -17,6 +17,7 @@
#define FEATURESET_7c0 6 /* 0x00000007:0.ecx */
#define FEATURESET_e7d 7 /* 0x80000007.edx */
#define FEATURESET_e8b 8 /* 0x80000008.ebx */
#define FEATURESET_7d0 9 /* 0x00000007:0.edx */
#ifndef __ASSEMBLY__
#include <xen/types.h>
@@ -234,6 +234,10 @@ XEN_CPUFEATURE(EFRO, 7*32+10) /* APERF/MPERF Read Only interface */
/* AMD-defined CPU features, CPUID level 0x80000008.ebx, word 8 */
XEN_CPUFEATURE(CLZERO, 8*32+ 0) /*A CLZERO instruction */
/* Intel-defined CPU features, CPUID level 0x00000007:0.edx, word 9 */
XEN_CPUFEATURE(AVX512_4VNNIW, 9*32+ 2) /*A AVX512 Neural Network Instructions */
XEN_CPUFEATURE(AVX512_4FMAPS, 9*32+ 3) /*A AVX512 Multiply Accumulation Single Precision */
#endif /* XEN_CPUFEATURE */
/* Clean up from a default include. Close the enum (for C). */
+1 -1
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@@ -253,7 +253,7 @@ def crunch_numbers(state):
# 512bit registers, and the instructions themselves. All further AVX512 features
# are built on top of AVX512F
AVX512F: [AVX512DQ, AVX512IFMA, AVX512PF, AVX512ER, AVX512CD,
AVX512BW, AVX512VL, AVX512VBMI],
AVX512BW, AVX512VL, AVX512VBMI, AVX512_4VNNIW, AVX512_4FMAPS],
}
deep_features = tuple(sorted(deps.keys()))
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